Actionable widget cards

ABSTRACT

A messaging system for a website building system hosting a website. The system also includes at least one database storing website parameters, pre-defined rules concerning card definitions, pre-defined widget card parameters and a product classification taxonomy and at least one card product system to receive a trigger from the website, associated with an action related to a product. The system generates an actionable widget card associated with the product based on the action, the website parameters, the pre-defined rules, the pre-defined widget card parameters and the product classification taxonomy where the widget card implements e-commerce related operations for the product between a publisher of the website with an end user of the website.

CROSS REFERENCE TO RELATED APPLICATIONS

This application claims priority from U.S. provisional patentapplications 62/437,324 filed Dec. 21, 2016 and 62/580,495, filed Nov.2, 2017 both of which are incorporated herein by reference.

FIELD OF THE INVENTION

The present invention relates to website building systems generally andto widget cards in particular.

BACKGROUND OF THE INVENTION

Message notification systems are known in the art such as cellular phoneSMS (short message service), MMS (multimedia message service) and pushnotifications which facilitate message notification in the form of a popup card. Message notifications are also known in the realm of websitesas part of the main site and are provided synchronously as part of theuser's workflow, for example when booking a hotel online, a notificationmay inform the user that there are only 2 rooms left or that aparticular offer or discount is about to end.

Existing prior art systems include mobile device notification systemssuch as notifications received via the Android operating system(commercially available from Google Inc.) in which a typicalnotification includes icon+title+text+action(s) and the Google Nowpersonal assistant application (commercially available from Google Inc),which supports specialized cards including those generated by thirdparty applications.

Other prior art systems include the Apple iOS “Today” widget(commercially available from Apple Inc.) which may be pulled from thetop of the display to show the date, upcoming meetings, weather andapplication messages and notifications and social networking systems(such as Facebook available from Facebook.inc) which provide a data feedconsisting of news items and updates.

SUMMARY OF THE PRESENT INVENTION Brief Description of the Drawings

The subject matter regarded as the invention is particularly pointed outand distinctly claimed in the concluding portion of the specification.The invention, however, both as to organization and method of operation,together with objects, features, and advantages thereof, may best beunderstood by reference to the following detailed description when readwith the accompanying drawings in which:

FIGS. 1A to 1R are schematic illustrations of different types andsub-types of actionable widget cards; constructed and operative inaccordance with the present invention;

FIG. 2 is a schematic illustration of a system for the creation, use andcommunication of actionable widget cards; constructed and operative inaccordance with the present invention;

FIG. 3 is a schematic illustration of the elements of the product cardsystem of FIG. 2; constructed and operative in accordance with thepresent invention;

FIGS. 4A and 4B are schematic illustrations of the structure andelements of a typical actionable widget card; constructed and operativein accordance with the present invention;

FIG. 5 is a schematic illustration of the elements of the card creatorof FIG. 3; constructed and operative in accordance with the presentinvention;

FIG. 6 is a schematic illustration of the interface of the product cardsystem of FIG. 2 with a mobile device system; constructed and operativein accordance with the present invention;

FIG. 7 is a schematic illustration of the elements of the card feeddisplayer of FIG. 3; constructed and operative in accordance with thepresent invention; and

FIGS. 8A, 8B and 8C are schematic illustrations of different types ofsocial networks.

It will be appreciated that for simplicity and clarity of illustration,elements shown in the figures have not necessarily been drawn to scale.For example, the dimensions of some of the elements may be exaggeratedrelative to other elements for clarity. Further, where consideredappropriate, reference numerals may be repeated among the figures toindicate corresponding or analogous elements.

SUMMARY OF THE PRESENT INVENTION

There is provided, in accordance with a preferred embodiment of thepresent invention, a message system. The system includes a memory, aprocessor, a website building system hosting a website, the websitehaving users and at least one database storing the website parameters,pre-defined rules concerning card definitions, pre-defined widget cardparameters and a product classification taxonomy. The system alsoincludes at least one card product system to receive a trigger from thewebsite, associated with an action related to a product and to generatean actionable widget card associated with the product based on theaction, the website parameters, the pre-defined rules, the pre-definedwidget card parameters and the product classification taxonomy where thewidget card implements at least e-commerce related operations for theproduct between a publisher of the website with a user of the website;and where the processor actives the product card system.

Moreover, in accordance with a preferred embodiment of the presentinvention, the product is a business object.

Further, in accordance with a preferred embodiment of the presentinvention, the widget card includes parameters of: a card type, a visualdisplay widget and a business object having an associated productclassification according to the taxonomy.

Still further, in accordance with a preferred embodiment of the presentinvention, the widget card also includes at least one parameter of: acard subtype, associated actions and other additional informationrelated to the product.

Additionally, in accordance with a preferred embodiment of the presentinvention, the widget card conveys a message associated with the productbetween at least one of: the website building system and at least oneuser of the website and the user and another user of the websitebuilding system.

Moreover, in accordance with a preferred embodiment of the presentinvention, the at least one card product system includes a cardinformation repository to store information regarding widgets, businessobject hierarchies and taxonomies, operational data, action definitions,widget card definitions and the pre-defined rules; a product classifierto analyze at least one of: incoming text, incoming media, an incomingwebpage associated with the product and an external product referencefrom a system external to the website building system, and to convert aproduct reference to a structured product description together withstandardized product definitions and classifications. It also includes acard creator to create the widget card based on the trigger, the cardinformation repository and the output of the product classifier; and acard feed displayer to generate and continuously update the display feedof the widget card.

Further, in accordance with a preferred embodiment of the presentinvention, the at least one card product system also includes at leastone of: a card transferrer to transfer the widget card to a second userof the website building system or to a system external to the websitebuilding system based on a request from the user; and a card transformerto transform the parameters of the widget card based on a request fromthe user.

Still further, in accordance with a preferred embodiment of the presentinvention, the at least one card product system also includes at leastone of: an external sensor and information retriever to receiveenvironmental, biometric, physiological or psychological parameters ofthe user from an external sensor associated with the user; a productmatcher to match the product with at least one like product having asimilar classification in at least one of: the web site, the websitebuilding system, a third-party application associated with the websitebuilding system and a system external to the website building system; anexternal system supporter and integrator to analyze an incoming externalproduct reference from a webpage external to the website building systemand to allow an action of the widget card to activate an externalprogram to the website building system; a card marketplace to offer cardtypes for sale to the users; and an AI analyzer to analyze andaccumulate information regarding user insights, the website behavior ofthe user, activity history of the user and preferences of the user.

Additionally, in accordance with a preferred embodiment of the presentinvention, the at least one card product system also includes a ruleengine to activate the product classifier, the product matcher, theexternal system supporter and integrator, the card feed displayer, thecard transferrer and the card transformer according to the pre-definedrules; and a card communicator to coordinate between the cardinformation repository, the external sensor and information retriever,the product classifier, the product matcher, the external systemsupporter and integrator, the card feed displayer, the card transferrer,the card transformer, the AI analyzer and the rule engine.

Moreover, in accordance with a preferred embodiment of the presentinvention, the website building system includes a runtime repository tostore site and application operational data, collected businessintelligence (BI), activities, messages and contacts associated with thewebsite; a design time repository to store templates, componentdefinitions, site and application definitions and editing history of thewebsite; and a visual editor to allow vendors of the website buildingsystem and third-party card designers to design and edit the widgetcard.

Further, in accordance with a preferred embodiment of the presentinvention, the website building system also includes at least one of: avisual adapter to adapt the style and layout of the widget card to atleast one of: style and layout of a website displaying the widget card;and a widget creator to allow a designer of the website to createwidgets based on at least one of: a definition language, a modifiedexisting view and visual editing.

Further, in accordance with a preferred embodiment of the presentinvention, the card creator includes multiple receivers to retrieve andreceive at least one of: product types, product subtypes, actions andwidgets associated with the product according to the pre-defined rules;an insight analyzer to collate and analyze operational data and thebusiness intelligence of the website together with design and BIinformation gathered from secondary websites and external systemsvisited by the user; a type filter to filter irrelevant product typesand product subtypes for the product; an action prioritizer to removeirrelevant actions associated with the product and to prioritizeremaining actions; a product processor to process and remove irrelevantbusiness object instances associated with the product and to prioritizethe remaining business object instances; a card prioritizer to create alist of widget cards for display by the card feeder; and a cardgenerator to generate the widget card based on the type filter, theaction prioritizer, the product processor and the card prioritizer.

Still further, in accordance with a preferred embodiment of the presentinvention, the card feed displayer includes a card retriever to retrievemultiple widget cards for presentation to the user for the feed; a cardfilterer to filter the multiple widget cards based on at least one of:relevance, urgency and user defined criteria; a card feed prioritizer toprioritize the filtered multiple widget cards based on at least one of:relevance, urgency and the user defined criteria; a card updater toupdate the multiple widget cards within the feed based on real timeevents; and a card feed manager to perform at least one of: re-sortingthe feed, filtering the feed, hiding and unhiding the cards, deletingthe cards, archiving the cards, adding notes to the cards and settingthe widget card attributes.

Additionally, in accordance with a preferred embodiment of the presentinvention, the system is a social network.

Moreover, in accordance with a preferred embodiment of the presentinvention, the user is at least one of: an anonymous user of thewebsite, a regular user of the website, a subscribed user of thewebsite, an unsubscribed user of the website; internal vendor staff ofthe website building system, third party application providers, verticalapplication providers, a visitor of the website, an operator of thewebsite, owners of the website and a designer of the website.

Further, in accordance with a preferred embodiment of the presentinvention, the trigger is one of: a direct action of the user, a requestfrom the user, an external real-world sensor event; a time-basedactivity and business or design analysis of the website.

Still further, in accordance with a preferred embodiment of the presentinvention, the widget cards convey messages with at least one thirdparty application associated with the website building system.

Additionally, in accordance with a preferred embodiment of the presentinvention, the AI analyzer updates the product classification taxonomyaccording to the information.

Moreover, in accordance with a preferred embodiment of the presentinvention, the product is a consumer good, a service session, a topic ofinterest or a product in a non-consumer environment.

Further, in accordance with a preferred embodiment of the presentinvention, the business object is at least one of: a generic objectclass and a specific object instance.

Still further, in accordance with a preferred embodiment of the presentinvention, the product classifier classifies according to at least oneof: the AI analyzer, inheritance classifications, site structure of thewebsite, displayed webpage of the product and the website editinghistory.

Additionally, in accordance with a preferred embodiment of the presentinvention, the product matcher matches according to the classificationof the product classifier, system attributes of the widget card, ananalysis of the displayed webpage for the product, the website usagehistory and the results of analyses from the AI analyzer of previousqueries and matchings.

There is provided, in accordance with a preferred embodiment of thepresent invention, a method. The method includes storing websiteparameters of a website belonging to a website building system hosting awebsite, the website having users, pre-defined rules concerning carddefinitions, pre-defined widget card parameters and a productclassification taxonomy; receiving a trigger from the website,associated with an action related to a product and generating anactionable widget card associated with the product based on the action,the website parameters, the pre-defined rules, the pre-defined widgetcard parameters and the product classification taxonomy, where thewidget card implements at least e-commerce related operations for theproduct between a publisher of the website with a user of the website.

Moreover, in accordance with a preferred embodiment of the presentinvention, the product is a business object.

Further, in accordance with a preferred embodiment of the presentinvention, the widget card includes parameters of: a card type, a visualdisplay widget and a business object having an associated productclassification according to the taxonomy.

Still further, in accordance with a preferred embodiment of the presentinvention, the widget card also includes at least one parameter of: acard subtype, associated actions and other additional informationrelated to the product.

Still further, in accordance with a preferred embodiment of the presentinvention, the widget card conveys a message associated with the productbetween at least one of: the website building system and at least oneuser of the website and the user and another user of the websitebuilding system.

Additionally, in accordance with a preferred embodiment of the presentinvention, the receiving and generating includes storing informationregarding widgets, business object hierarchies and taxonomies,operational data, action definitions, widget card definitions and thepre-defined rules; analyzing at least one of: incoming text, incomingmedia, an incoming webpage associated with the product and an externalproduct reference from a system external to the website building system,creating the widget card based on the trigger, the card informationrepository and the output of the analyzing and converting a productreference to a structured product description together with standardizedproduct definitions and classifications and generating and continuouslyupdating the display feed of the widget card.

Moreover, in accordance with a preferred embodiment of the presentinvention, the receiving and generating also includes transferring thewidget card to a second user of the website building system or to asystem external to the website building system based on a request fromthe user; and transforming the parameters of the widget card based on arequest from the user.

Further, in accordance with a preferred embodiment of the presentinvention, the receiving and generating also includes at least one of:receiving environmental, biometric, physiological or psychologicalparameters of the user from an external sensor associated with the user;matching the product with at least one like product having a similarclassification in at least one of: the website, the website buildingsystem, a third-party application associated with the website buildingsystem and a system external to the website building system; analyzingan incoming external product reference from a webpage external to thewebsite building system and allowing an action of the widget card toactivate an external program to the website building system; offeringcard types for sale to the users; and analyzing and accumulatinginformation based on artificial intelligence regarding the userinsights, the website behavior of the user, activity history of the userand preferences of the user.

Still further, in accordance with a preferred embodiment of the presentinvention, the receiving and generating also includes: activating theanalyzing and converting a product reference, the matching, theanalyzing an incoming external product reference, the transferring andthe transforming according to the pre-defined rules; and coordinatingbetween: the storing information, the receiving environmental,biometric, physiological or psychological parameters of the user, theanalyzing and converting a product reference, the matching, theanalyzing an incoming external product reference, the transferring, thetransforming, the generating and continuously updating, the analyzingand accumulating information based on artificial intelligence and theactivating.

Additionally, in accordance with a preferred embodiment of the presentinvention, the method also includes storing site and applicationoperational data, collected business intelligence (BI), activities,messages and contacts associated with the website, storing templates,component definitions, site and application definitions and editinghistory of the website; and allowing vendors of the website buildingsystem and third-party card designers to design and edit the widgetcard.

Moreover, in accordance with a preferred embodiment of the presentinvention, the method also includes adapting the style and layout of thewidget card to at least one of: style and layout of a website displayingthe widget card; and allowing a designer of the website to createwidgets based on at least one of: a definition language, a modifiedexisting view and visual editing.

Further, in accordance with a preferred embodiment of the presentinvention, the creating the widget card includes retrieving andreceiving at least one of: product types, product subtypes, actions andwidgets associated with the product according to the pre-defined rules,collating and analyzing operational data and the business intelligenceof the website together with design and BI information gathered fromsecondary web sites and external systems visited by the user; filteringirrelevant product types and product subtypes for the product, removingirrelevant actions associated with the product and prioritizingremaining actions, processing and removing irrelevant business objectinstances associated with the product and prioritizing the remainingbusiness object instances, creating a list of widget cards for display;and generating the widget card based on the filtering, the removingirrelevant actions and prioritizing remaining actions, the processingand removing irrelevant business object instances, the prioritizing theremaining business object instances and the creating a list of widgetcards for display.

Still further, in accordance with a preferred embodiment of the presentinvention, the generating and continuously updating the display feedincludes retrieving multiple widget cards for presentation to the userfor the feed, filtering the multiple widget cards based on at least oneof: relevance, urgency and user defined criteria, prioritizing thefiltered multiple widget cards based on at least one of: relevance,urgency and user defined criteria; updating the multiple widget cardswithin the feed based on real time events; and performing at least oneof: re-sorting the feed, filtering the feed, hiding and unhiding thecards, deleting the cards, archiving the cards, adding notes to thecards and setting attributes for the widget cards

Additionally, in accordance with a preferred embodiment of the presentinvention, the user is at least one of: an anonymous user of thewebsite, a regular user of the website, a subscribed user of thewebsite, an unsubscribed user of the website; internal vendor staff ofthe website building system, third party application providers, verticalapplication providers, a visitor of the website, an operator of thewebsite, the website owners and a designer of the website.

Moreover, in accordance with a preferred embodiment of the presentinvention, the trigger is one of: a direct action of the user, a requestfrom the user, an external real-world sensor event; a time-basedactivity and business or design analysis of the website.

Further, in accordance with a preferred embodiment of the presentinvention, the widget cards convey messages with at least one thirdparty application associated with the website building system.

Still further, in accordance with a preferred embodiment of the presentinvention, the analyzing and accumulating information based onartificial intelligence further updates the product classificationtaxonomy according to the information.

Additionally, in accordance with a preferred embodiment of the presentinvention, the product is a consumer good, a service session, a topic ofinterest or a product in a non-consumer environment.

Moreover, in accordance with a preferred embodiment of the presentinvention, the business object is at least one of a generic object classand a specific object instance.

Further, in accordance with a preferred embodiment of the presentinvention, the analyzing and converting a product reference to astructured product description includes classifying according to atleast one of: the analyzing and accumulating information based onartificial intelligence, inheritance classifications, site structure ofthe website, displayed webpage of the product and the editing history ofthe website.

Still further, in accordance with a preferred embodiment of the presentinvention, the matching is according to the classification of theproduct classifier, system attributes of the widget card, an analysis ofthe displayed webpage for the product, the website usage history and theresults of analyses from the analyzing and accumulating informationbased on artificial intelligence of previous queries and matchings.

DETAILED DESCRIPTION OF THE PRESENT INVENTION

In the following detailed description, numerous specific details are setforth in order to provide a thorough understanding of the invention.However, it will be understood by those skilled in the art that thepresent invention may be practiced without these specific details. Inother instances, well-known methods, procedures, and components have notbeen described in detail so as not to obscure the present invention.

Applicants have realized that the notification systems of the prior art,whilst allowing communication, are explicitly connected to the givenapplication which created the notification (such as the particularwebsite) are not necessarily product or topic orientated. Applicantshave also realized that social networks such as Facebook which providefeeds/actions for their subscribers, are unaware of the actual subjectmatter of the feeds/actions they are providing. Furthermore, asdiscussed in the hotel booking example herein above, the cards areprovided synchronously as part of a notification from the main site inreal time only.

Applicants have realized that the systems of the prior art may beimproved by a system that can link users or visitors of a websitebelonging to a website building system (such as consumers, visitorsetc.) with feeds and actions provided by multiple publishers orproducers (such as websites, e-shops, blogs etc.) via a message card,i.e. a system that communicates via product centered cards (possiblyincluding an underlying product definition or product instancereference) and understands the semantic hierarchy of the product that ispresented in a user feed. The cards may be generated separately from themain site work flow and asynchronously (i.e. not when the user isworking on the specific site).

The system may also be integrated with a website building system thathas been used to construct a primary system such as an e-shop (asdescribed in more detail herein below), or may be integrated withstandalone visual design systems, external systems to the websitebuilding system or associated third party applications to the websitebuilding system and mobile applications devices.

It will be appreciated for the sake of the below mentioned discussion,the term product may apply to a consumer good (such as an item ofclothing or a restaurant order), a service session (such as a hotel roomorder or a massage session), a topic of interest (such as hand glidingor stamp collecting) or a product in a non-consumer environment (such asa course, a meeting or an event which may not be paid for.)

The system may also be able to transfer these cards between users andtransform them accordingly as required. The system may be able to usethese cards with multiple displayable widgets (or views) and associatedactions, which also may affect the card itself (e.g. act as a triggerfor card creation or card change). This may include advanced techniquesfor automated or dynamic assignment of display widgets to cards. Themessage cards underlying such a system shall be from here on known asactionable widget cards.

An example of this system is a set of e-commerce related primaryapplications hosted on one or more on-line website building system(s)i.e. a set of e-stores. A product card system (also known as interfaceapplication or interface system) may allow users such as site owners andsite visitors to communicate and exchange the above mentioned actionablecards which implement e-commerce related actions and operations (such asa product purchase or delivery). Such cards may include underlyingbusiness objects (or products/items), visual widgets (or views) andassociated actions as described in more detail herein below. Thefollowing discussion refers to a product card system, although thesystem is applicable to business objects in general and not just toproducts.

The product card system may allow the various users (which may includesite designers, site owners and site visitors) to perform the actionsincluded in the cards (such as ordering an offered product). The productcard system may also support system operations on cards and system-levelactions which are not specifically associated with the card itself, butare provided by the system for some or all cards. Such system operationsmay include, for example, transferring, transforming or matching ofcards as described in more detail herein below.

Reference is now made to FIGS. 1A to 1R which illustrate examples ofsuch cards for different scenarios and described in more detail hereinbelow.

Reference is now made to FIG. 2 which illustrates an exemplary system100 for the creation, use and communication of actionable widget cardsin accordance with an embodiment of the present invention. System 100comprises a product card system 10, a website building system 20,standalone visual applications 30 (such as websites, e-shops and blogs),external systems 40 and third-party applications 50. All may be incommunication with each other and users 60 via at least one actionablewidget card 70. Users 60 may include desktop visitors, mobile site andapplication users, site owners or operators or a site designer (whointeracts directly with the website building system). A user 60 may alsobe associated with a sensor 80 as described in more detail herein below.

It will be appreciated that system 100 may use a web-based architectureimplemented on servers or a cloud-based platform, either of which may beaccessible through communication media 90 (such as the Internet or localnetwork). It will be further appreciated that product card system 10, awebsite building system 20, standalone visual applications 30 (such aswebsites, e-shops and blogs), external systems 40 and third-partyapplications 50 may all have client-side elements 85 as well, with theirfunctionality divided between the server and the client elements.Furthermore, third-party applications 50 may have server elementsrunning on website building system 20 and on separate hosting servers aswell as on the user machines and mobile devices. Also, system 100 mayuse mobile apps, typically downloaded from an app store, to implementsome or all of its functionality on the client side.

It will be appreciated that system 100 is typically associated withvisual applications that implement e-commerce related third partyapplications 50 and components. Events may include e-commerce relatedevents (buy a product etc.) and others (e-mail, fill registration formetc.). In an alternative embodiment (known as “site-less”configuration), product card system 10 may function in conjunction witha backend-only non-interactive external system 40, allowing the users toaccess the “primary system” through product card system 10 only.

Website building system 20 may further comprise visual applications 21which may have been created within the realm of website building system20 and a design-time repository 22 to hold information about visualapplications 21 such as templates, component definitions, site/appdefinitions and editing history and a run-time repository 23 storeincluding site/application operational data, collected businessintelligence (BI), activities/messages and contacts etc. as described inmore detail herein below. Website building system 20 may also comprise awidget creator 24, a visual adapter 25 and a visual editor 26. Thefunctioning of these elements is described in more detail herein below

It will be appreciated that the third-party applications 50 may besimple or complex and may be embedded into the sites and applicationscreated by website building system 20. Third party applications 50 maybe provided by actual third-party providers, or by the website buildingsystem 20 vendor himself.

It will also be appreciated that third party applications 50 mayexchange information (with the pertinent website and with each other)using standardized structured messages (activities) as discussed in USPatent Publication No. 2015/0089354, entitled “System and Method forThird Party Application Activity Data Collection”, published Mar. 26,2015 and assigned to the common assignee of the present invention.

Product card system 10 may facilitate the creation and communication andexchange of the above mentioned actionable messages or cards 70.Reference is now made to FIG. 3 which illustrates the elements ofproduct card system 10.

Product card system 10 may comprise a card information repository 11, acard market place 101, a card creator 102, a card communicator 103, aproduct matcher 104, an external system supporter/integrator 105, a cardtransformer 106, a card feed displayer 107, a card transferrer 108, aproduct classifier 109, a rule engine 110, an AI (artificialintelligence) analyzer 111 and an external sensor and informationreceiver 112. The functionality of these elements is described in moredetail herein below.

Card information repository 11 may store card 70 definitions and actualcard instances as discussed in more detail herein below.

It will be further appreciated that in alternative embodiments, system100 may also be applied to other applications such as non-e-commercescenarios, such as blogs and blog creation systems and marketing andpromotion systems which deliver e-mail or other notifications to users.System 100 may further be applied to organizational sites whichimplement workflow, form processing based on the integration of multiplethird-party applications or with a system serving a vertical market suchas a hotel system, a booking system (for appointments or classes), arestaurant system or video/media channel system etc.

In yet another embodiment, system 100 may also be implemented though amobile device application, typically connected to a server whichprovides back end functionality. This could be done using a nativemobile application, an interpreted one, a hybrid (combined native andweb) application or using any other technology.

System 100 may also be used with “foreign” application platformtechnologies (website building system, mobile app or otherwise) whichwere not constructed to interact specifically with system 100. In thisscenario, the integration may be achieved using a specialized plug-in orinterface added to such foreign platform technology, at the applicationlevel (e.g. as provided by Facebook messenger) or at the system level(e.g. as provided by Apple's iOS).

Alternatively, system 100 may be used with multiple related (but notco-hosted) applications, e.g. multiple mobile apps using the same orseparate servers.

System 100 may also be used with multiple unrelated applications, e.g.multiple separate websites or mobile apps which are connected using aplug-in or web service to provide the described system capabilities.

It will be appreciated that a primary application development system(e.g. an underlying website building system) may support the notions of“verticals”, specific adaptations for specific vertical markets (such asphotographers, wedding planners, bakeries etc.). Such adaptations mayapply to website building system 20 itself, the provided templates(site/page etc.) and other resources. System 100 may support uniform useacross multiple such vertical variants.

Product card system 10 may typically be implemented as a separateapplication (website or mobile application) connected to websitebuilding system 20 (server or client side). Website building system 20and product card system 10 may typically share a common or relatedback-end system, but the integration between these two systems 20 and 10may also be provided through communication between two separate back-endsystems (with product card system 10 implemented using one or moreseparate servers).

Another possible embodiment is one in which product card system 10 isembedded into or otherwise integrated with website building system 20.This could be (for example) as a feature, a sub-system or running sideby side with website building system 20.

System 100 may also combine both approaches, making product card system10 functionality accessible (for example) both through the website and aseparate application.

Product card system 10 may be accessed as a website (desktop or mobile),a mobile app or any other type of app (i.e. using a client element whichis integrated or separate from client element 85). Product card system10 may also be implemented using technology which allows on-demandapplication loading (such as Google's Android Instant Apps). Using sucha technology allows cards 70 to operate (including feed/card viewing andcard associated action execution) outside of product card system 10without pre-installing the product card system 10 application.

System 100 may also use a product card system 10 version or multipleversions (e.g. serving different user classes) as discussed in moredetail herein below.

It will be appreciated that the three repositories (card informationrepository 11, design-time repository 22 and run-time repository 23) maybe integrated or synchronized through several mechanisms.

Under one embodiment, both product card system 10 and website buildingsystem 20 may use a joint data repository between them, so the twosystems are using the same underlying data (i.e. that held inrepositories 11, 22 and 23). In this scenario, the displayed resultantwidget cards 70 represent the actual operational/business data used bywebsite building system 20.

Under another embodiment, product card system 10 and website buildingsystem 20 may use separate repositories, and card information repository11 may reflect the internal processes of website building system 20.Product card system 10 and website building system 20 may both implementan update/synchronization mechanism to update card informationrepository 11 with the relevant updates to website building system 20.

Card information repository 11 may contain additional data (in additionto the accessed/synchronized website building system 20 data relevant tothe cards) and in particular, additional cards 70 which do not reflectwebsite building system 20 data. Such cards may include (for example),cards 70 which reflect chat (or other) conversations between systemusers 60, and cards 70 which reflect added comments, notes and reviews(e.g. a hotel site operator posting a “give an upgrade to this guest onarrival” card, which would be displayed when the guest checks in).

It will be appreciated that such data may be managed by product cardsystem 10, but may be updated in website building system 20 if required.

It will be further appreciated that the relationship between productcard system 10 and website building system 20/standalone visualapplications 30/external systems 40 may be many-to-many. For example, asingle website building system 20 may have multiple product card system10 s connected to it (e.g. from multiple vendors), and a sole productcard system 10 may contain cards reflecting activity in multiple websitebuilding systems 20/standalone visual applications 30/external systems40. This is in addition to having multiple versions of the same soleproduct card system 10 as discussed in more detail herein below.

It will also be appreciated that cards 70 may be stand-alone andexternal to system 100. As discussed in more detail herein below, cards70 may be sent or transferred via some form of communication (chat,e-mail, social network sharing) using cards 70 which are self-containedi.e. the transferred object may contain the relevant data as well as thecode required to implement the card/widget functionality. In thisscenario, card 70 may function on a target system not connected to theInternet (once it is received in that target system).

System 100 may also use cards 70 which interact with supporting systems(source system or others). In this scenario, the transferred object mayfunction through reference to the underlying system providing theservice or using a plug-in/third party application embedded in theexternal systems in which the cards operate.

The transfer of cards may also be within the same eco-system(environment) or a different eco system.

The discussion below focuses on a product card system 10 and a websitebuilding system 20, but is applicable (with the relevant changes) toother possible configurations as well.

As discussed herein above, system 100 may support multiple user 60categories. The main categories are site owner (which typically owns andoperates the e-commerce shops in the site) and site visitors (whichinteract with the sites). System 100 may support additional categories,such as site designer (which may be separate from the site owner),specific (limited) e-shop operators (which have specific operationalprivileges for an entire e-shop or for a specific section of the e-shope.g. may only handle the books sections) and site support personnel(which may only handle support issues for an e-shop).

Other categories of users 60 may include multiple classes of sitevisitors, such as regular and VIP visitors,registered/unregistered/anonymous visitors or visitors subscribed tocertain services like those following updates on a specific topic.

System 100 may provide separate interfaces (and a product card system 10versions or instances) for each user 60 category (e.g. site owner andsite visitors), or may provide a single interface/UI or app for some orall the user 60 categories. Some embodiments of system 100 may provide aproduct card system 10 just for specific user 60 categories and not forothers (including, for example, branded version for specific web sitesor web site collections).

It will be appreciated that user 60 may belong to multiple categoriesand thus the owner/visitor graph is not a standard bipartite graph. Forexample, website building system 20 may provide a mechanism whereby aspecific merchant is the site owner of his own e-store, but is acustomer (and site visitor) on multiple wholesale sites which providethe goods being sold in the merchant's e-store. In another example, adesigner may be classified as a “site designer user” in multiple sites(operated by the designer's clients), and as a site owner of the designstudio website.

The (typical) use of a sole product card system 10 for both types ofusers 60 is important, as it allows (for example) a merchant to use asingle integrated feed and notification system for updates originatingwith both clients and suppliers.

As discussed herein above, actionable widget cards 70 provide a visualinterface to activities performed by website building system 20 and itshosted websites (such as the standardized messages described in the USPatent Publication No. 2015/0089354). Cards 70 typically describe eventsor actions associated with a specific product or business object, e.g.“I would like to buy this yellow T-shirt (product ID XYZ)”. Each cardmay include 3 main elements (which may either not appear at all or mayappear multiple times). The 3 main elements may be underlying businessobjects, associated actions and operations related to the object orobjects and visual display widgets as is illustrated in FIG. 4A to whichreference is now made. FIG. 4A illustrates a typical actionable widgetcard 70 and the related card information repository 11 data (asdescribed in more detail herein below).

Card 70 may also comprise information regarding the type, sub-type,visual display, pertinent business object, associated actions and otheradditional information as described in more detail herein below.

It will be appreciated that cards 70 may be partial, i.e. may notinclude all the above-mentioned elements. A card 70 may be considered aproduct card (i.e. containing product/business object information) or anon-product card 70. An example of a non-product card with no type,widget (view) or business object may be a system message regarding asystem upgrade.

It will be appreciated that an example of an underlying business objectis the above mentioned yellow t-shirt as is illustrated in FIG. 4B towhich reference is now made. It will be appreciated that some cardstypes and sub-types (such as chat cards) do not have an underlyingbusiness object as discussed in more detail herein below. Thus, for theexample of FIG. 4B, the type is “product”, the subtype is “Offer forPurchase”, the visual widget is “e-shop display”, the business object is“yellow t-shirt (product ID XYZ)”, the associated actions are “buy”/“askwhen available”, and additional info is “Size: Large”.

It will also be appreciated that cards 70 may have associated actionswhich are predefined and stored in repository 11.

It will be further appreciated that product card system 10 maydynamically match widgets/views to the underlying business objects incards 70 which do not have a pre-associated visual widget as discussedin more detail herein below. Cards 70 may have multiple associateddisplayable widgets and multiple layouts/multiple widgets forpresentation on multiple platforms or multiple display configurations(e.g. screen sizes).

Cards 70 may also include additional attributes and parameters asfurther described herein below.

It will be appreciated that cards 70 are a “common currency” used bymultiple system 100 elements and typically convey e-shop iteminformation. However, cards 70 are distinct from the e-shop items.E-shop items are not cards, but they generate cards 70 when specificoperations are performed on them (e.g. “send this item”, “buy this item”or “ask if this item is in stock”).

Cards 70 may appear in website building system 20, e.g. when productcard system 10 is integrated with website building system 20 asdescribed herein above.

It will also be appreciated that card 70 may also be interactive, i.e.function as a mini-application. For example, a restaurant sends apayment card and the diner changes the tip amount on the card.

As discussed herein above (and illustrated in FIG. 4A), card 70definitions and actual card instances are stored in one or more cardinformation repositories 11. Card information repository 11 may furthercomprise a widget/view repository 11 a to store widget definitions,business object hierarchies and taxonomies, a repository 11 b to storebusiness object definitions, an operational data repository 11 c, anaction definitions repository 11 d, a card definitions repository 11 eand a card rule repository 11 f. These repositories 11 may be integratedwith website building system 20 or may be separate as required asdescribed herein above. The use of these repositories is discussed inmore detail herein below.

It will be appreciated that system 100 may support multiple card 70types, and multiple possible card sub-types for each type, as shown inthe example cards included in FIGS. 1A to 1R back to which reference isnow made. System 100 may support additional card types and sub-types asdescribed in more detail herein below.

It will also be appreciated that cards 70 may be used for multiplepurposes including product cards (such as the yellow t shirt example),general cards (e.g. “please upload pictures”) and marketing cards, suchas a campaign announcement from the site owner. Such a card 70 may alsoinclude a registration option or form, or a pointer to a specific entrypoint (or landing page) of website building system 20. Such cards 70 maybe displayed (for example) through banner ads.

Other uses of cards 70 are notifications (such as “out of stock”), chatmessage cards and business insights cards, such as a card 70 noting thata specific product has been generating interest lately by customers buthas low purchase conversion rate and recommending the owner to place adiscount on the product.

Reference is now made back to FIGS. 1A-1R which illustrate numeroussite-related notifications represented by cards 70 based on analysis ofa site (created by website building system 20 or a standalone site 30)and its use.

FIG. 1A illustrates cards 70 displaying general site information andbusiness analytics.

FIG. 1B illustrates cards 70 displaying live system information relatedto current site activity.

FIG. 1C illustrates cards 70 displaying scheduling and agendainformation (such as for sites which involve sessions or bookingelements). Such cards 70 may also be useful for users 60 (site ownersand visitors), displaying their calendar information and upcomingappointments or sessions.

FIG. 1D illustrates a card 70 displaying a marketing campaign (e.g. oneinitiated by the system/website building system vendor).

FIG. 1E illustrates cards 70 displaying operational activities to beperformed by the site owner or operator.

FIG. 1F illustrates cards 70 displaying suggestions to perform changesto the website, such as adding a Christmas sale, changing some items,creating a blog post etc. These could also involve site design tasks.

FIG. 1G illustrates cards 70 displaying periodical (such as monthly)statistics about the site or business.

FIG. 1H illustrates cards 70 related to image uploading activities.

FIG. 1I illustrates cards 70 related to publishing the site or gettingfeedback about it.

FIG. 1J illustrates cards 70 related to improving the site's SEO andgetting information about the site's search engine ranking.

FIG. 1K illustrates a card 70 displaying information about the site'stop clients.

FIG. 1L illustrates a card 70 displaying information about (and possiblylinking to) additional applications and capabilities offered by thesystem.

FIG. 1M illustrates a card 70 displaying ideas for inspiration to thesite owner (e.g. through videos).

FIG. 1N illustrates a card 70 requesting feedback for the systemdevelopers.

FIG. 1O illustrates a card 70 redirecting the site owner to the siteeditor.

FIG. 1P illustrates side/owner side cards 70 handling ordering andrestocking suggestions/requests.

FIG. 1Q illustrates client side/owner side cards 70 handling systemsuggestions for event (e.g. yoga session) modification and rescheduling.

FIG. 1R illustrates cards 70 handling domain-specific issues (hotelamenities, e-shop product reminder/question, system blog post notes).

It will be appreciated that some of the cards 70 above may includemultiple views/widgets (e.g. one for site owner and one for the sitevisitor), such as order card 70 (FIG. 1P), booking/session card 70 (FIG.1C) or an event modification card 70 (FIG. 1Q). Some cards 70 may alsobe used (with different meaning/semantics) for both system vendor tosite owner communication and for site owner to site visitorcommunication (such as the marketing campaign card in FIG. 1D).

It will be appreciated that in a typical embodiment, product card system10 may define the card types and sub-types. The types and sub-typestypically correspond to the standard third-party application messages(as described in US Patent Publication No. 2015/0089354) and additionalprimary system events.

It will be appreciated that in typical embodiments, the underlying logicand visual elements which provide the functionality of card 70 areexecuted on product card system 10 server and/or dynamically loaded tothe product card system 10 client. Thus, if card types or sub-types areadded or modified, product card system 10 may support new or modifiedcards 70 without requiring a modified version of the product card system10 to be installed (e.g. in the scenario that the product card system 10client-side element is implemented as a mobile application).

System 100 may allow third party application providers or verticalapplication providers to create additional card sub-types (or possiblyeven top-level types) representing events and actions internal to theirthird-party application or vertical application. Such types andsub-types may be unique to a specific such providers, or standardized soto serve multiple such providers.

For example, the provider of a vertical application for videostorage/processing/viewing may define specialized card types whichrelate to the video quantity stored, progress of off-line videotranscoding and video playback BI (e.g. what percentage of visitorswatch given videos until their end).

Such a vertical application may be used by multiple site owners fordifferent purposes such as a fashion show's video catalog and an on-lineuniversity.

System 100 may further allow site owners or designers to createadditional card sub-types (or possibly even top-level types). Asdescribed in more detail herein below, such card types may often becreated through inheritance of existing cards or card templates. Forexample, system 100 may allow (e.g. as a premium feature) an e-commercesite owner to create branded custom order cards 70 which would stand outin the visitor's feed. Card types and subtypes may be stored in carddefinitions repository 11 e.

System 100 may also allow an existing card sub-type to be visuallycustomized (rather than creating a complete new card sub-type). This maybe done by card creator 102 modifying the view widget associated withthe card as discussed in more detail here in below. The new sub-type maybe regarded as inheriting from the existing sub-type.

System 100 may further allow additional third parties (that are notnecessarily vendors of third party applications 50 on the websitebuilding system 20 platform) to create additional card types viastandardized API or plug-in mechanisms. An example of this is anadditional third party performing business intelligence and suggestingactions via cards 70.

It will be appreciated that a business object can be a genericobject/class (e.g. a hotel room of a given size) or a specific objectinstance (specific hotel room on a specific date) at varying levels ofgenerality. Examples of business objects include a solitary product inan e-commerce shop, an actual product in the store or a description of adesired product (which may not fit any specific product) and a room in ahotel business which could be a room in general, a specific roomcategory (e.g. a kind-size bed mini-suite), a specific room in the hotelor a specific night stay in a specific room. In general, a businessobject is more a generalized or abstract form of a product. A producttypically refers to a specific purchasable good or service, even if notfully specified, e.g. a hotel room which was purchased but does not havea concrete room number assignment yet. A business object is moreabstract, and can refer to hotel rooms in general, or even to a numberof possible product classification (e.g. a number in a sub-tree of theproduct taxonomy hierarchy).

Business objects may also include a dish in a restaurant. a table in arestaurant, a music album, a picture album, a single therapy session fora therapist, a specific flight ticket on a specific flight, a blog post,a page in website building system 20, or a link to such a page, ascheduled event (such as an event defined by the Facebook social networkor using the iCalendar file standard, a contact business card (similarto the vCard file standard), a specific communication from a contact(like message) or an order or invoice document, possibly digitallysigned.

It will be appreciated that system 100 may understand the underlyingbusiness object, i.e. system 100 may have a clear classification andinformation regarding the product. For example, a chat card 70 maycontain an initial description or other representation of a businessobject which may not yet be understood by system 100 (e.g. “Hi—see theattached picture of a great shirt I saw at the show in the park lastnight, do you have it in black?”). However, product classifier 109 mayconvert this to a structured product description as early as possible(e.g. through analysis of the user's text and/or attached media) orlater when the e-shop owner provides a specific response (which mayinclude actual product's ID or attributes) as described in more detailherein below.

Product card system 10 may freely mix cards 70 describing businessobjects at different level of generality, even from the same site. Forexample, a query for possible room options made through product cardsystem 10 may generate multiple cards 70 (e.g. room options) at variouslevels of specificity.

System 100 may also implement cards which do not reference a specificproduct, e.g. a filled contact form or a text/media message.

System 100 may also support cards 70 which contain multiple products(e.g. the content of a shopping cart) as well as a product withconfiguration information (such as a pizza order with multiple toppingsdefinitions or a car rental order with extra options).

It will also be appreciated that the number and composition of businessobjects in a single card may change over time. For example, system 100may implement a conversational chat card that represents an entire chatsession.

Such a session may start with a site visitor asking the owner whatt-shirts he recommends (0 business objects at this point). The ownerresponds with 3 new t-shirt models (3 business objects at this point).The visitor continues to discuss a specific model (1 business object atthis point).

Such a change may be regarded as a card 70 transformation (transforminga chat card into an order card) as described in more detail hereinbelow.

The following discussion focuses on products to be purchased as exampleof business objects, though business objects may cover services andadditional object categories discussed herein above.

It will also be appreciated that the business object(s) referenced in acard 70 typically include a specific product ID associated with aspecific product by a specific vendor (such as the yellow t shirtexample). However, product card system 10 may transform a card 70 from agiven product to other products (identical or alternate) by differentvendors. Such alternate product may have (for example) a differentvendor, color, size, model or configuration.

System 100 may also use cards 70 based on a generalized(non-vendor-specific) description of a product based on a set ofattributes. For example, a shirt may be described as a “Size 45 man'sbright yellow cotton short-sleeved t-shirt”.

System 100 may also use standardized product definitions andclassifications for the products/business objects (e.g. business objectclassification hierarchies). This standardization may allow matchingproducts between different e-shop sites and may also make product cards70 transferable (e.g. from one e-shop to another) and transformable(e.g. converting a card 70 describing a shirt from one vendor to aparallel card 70 describing a similar but different product.)

System 100 may use standard product taxonomies such as the UnitedNations Standard Products and Services Code (UNSPSC) or the GS1 GlobalProduct Classification (GPC). System 100 may also use private commercialtaxonomies such as the Google product taxonomy.

It will be appreciated that users 60 (including both site owners andsite visitors) may perform multiple operations/actions on cards 70. Suchoperations may affect products or other business objects referenced bythe cards. Such operations may include (for example) purchasing andrestocking (as is illustrated in the example cards of FIG. 1P), openingdetails (for a product or other information provided by the card) andperforming a product-specific “like”. This may be a system-provided“like” functionality and not the one provided by a social network (suchas Facebook). It may be specialized for system 100, for exampleincluding multiple “like” categories which embed product reviewfunctionality (e.g. “excellent product”, “tried it and liked it”, . . .).

Users 60 may also use cards 70 to initiate a chat, for example from asite owner to/from a site visitor, or other users (as is illustrated inFIG. 1Q) and to perform recommended tasks for cards 70 such asoperational tasks (as is illustrated in FIG. 1E), site content/designtasks (as is illustrated in FIG. 1F) and SEO tasks (as is illustrated inFIG. 1J).

Users 60 may also use cards 70 to share, i.e. to embed the card in adifferent place (i.e. outside of the feed in which the card is typicallyviewed). Such a different place may be internal to system 100 (e.g.embed this card in a chat conversation managed by system 100 withanother user) or external to system 100 via an adapter (e.g. sharingthis card on Facebook).

Associated actions may also be available depending on the category ofuser 60, selected from action definition repository 11 d. For example,an item order card 70 may appear in both the store owner's and thebuyer's feed. However, the actions available to each of these users 60may be different (e.g. the store owner has a “supply” or “proposealternate product” action which is not available to the buyer).

It will be appreciated that when a specific card type is defined (e.g.by the system 100 provider or by a third-party application provider asdescribed in more detail herein below), card 70 may inherit a set ofpossible pre-defined actions associated with the card type and sub-type(template actions). Product card system 10 may select which actions toallow, and may provide pre-defined parameters for some of the actions asdescribed in more detail herein below.

It will be appreciated that there may be one or more widgets associatedwith card 70, which are used to display the content of card 70 invarious situations. It will be appreciated that if no visual widget ispre-associated with card 70, product card system 10 may associate awidget at a later stage (or construct a new widget or modify an existingwidget as detailed herein).

It will be appreciated that system 100 may use different widgets (forexample) for the same card 70 when displaying the card 70 to differentuser categories. For example, a site owner may view a detailed versionof a card 70 representing a product order (including additionalinformation related to order fulfillment and current product stocksituation and locations). A site visitor viewing the same order card 70may be shown a more limited view. Furthermore, system 100 may presentcard 70 using a basic view widget, and allow user 60 to invoke anadvanced, more detail widget for the same card 70 using (for example) a“read more” button.

Furthermore, the widget displayed to represent card 70 may change overtime, even for the same user 60. For example, an e-shop may allow anorder to be canceled for a certain period of time after ordering andbefore shipping. This could be (for example) due to a legal requirement,or done as part of the e-shop service to the site visitor. Instead ofusing a scheme such as graying-out a “cancel order” button, the e-shopmay desire to use two “pending order” card 70 formats, one whichincludes the “cancel order” button (and any related part of the UI) andone which doesn't. As another example, a card 70 showcasing a pendingorder which the owner needs to satisfy may change colors or shape asmore time passes to alert the owner regarding the urgency of delayedorders.

System 100 may support widget definition by multiple classes of users60, including internal system vendor staff, third party applicationproviders, vertical application providers and site owners. System 100may provide different levels of design capability and functionality todifferent user classes.

System 100 may also provide a number of methods through which visualwidgets may be defined (discussed in more detail herein below inrelation to widget creator 24), including the following or a combinationthereof. System 100 may provide a visual definition language (a standardone such as HTML, or using a specialized language) or a (possibly scaleddown) version of visual editor 26.

Visual widgets may be defined in conjunction with the definition of sitepages integrating website building system 20 or based on inheritance andmodification of existing widgets.

The definition of the widget may also include the binding between thewidget's displayed fields and the underlying information in the system'srepositories, the conditions under which it appears (e.g. for cards withmultiple viewing widgets which appear under different conditions, whentransferred or transformed etc.) and any definition of dynamic layoutanchors and relationship between the view components (as described in USPatent Publication No. 2013-0219263 entitled “Web Site Design SystemIntegrating Dynamic Layout and Dynamic Content”, published Aug. 22, 2013now issued as U.S. Pat. No. 10,185,703 granted Jan. 22, 2019, andassigned to the common assignee of the present invention).

The definition may also include any additional insights (e.g. user tipsand instructions) which may appear in the card.

As discussed in more detail herein below, system 100 may use the methodsabove (e.g. using dynamic matching and adaptation) to matchviews/widgets to card information even if the user didn't predefine awidget for the card.

For example, an order card 70 may be useable with multiple types ofproducts having different sets of properties and information. Thus,system 100 may allow the site owner to omit defining the exact view tobe used for each widget in an “order” card, as system 100 maydynamically match and adapt views to different products included in such“order” card.

It will be appreciated that the widgets are not required to have anidentical or common size. System 100 may support multiple cards (andvisual widgets) using a number of possible card sizes.

It will also be appreciated that system 100 may support dynamic cards 70which may be associated with front-end/back-end mini-apps, possibly usedfor analytics or other purposes.

Such cards may be dynamically updated, displaying content which changesover time as discussed in more detail herein below. Examples mayinclude:

“A visitor has arrived at your site” card which includes a visitor name(if registered), the specific visited page(s) on the site and stayingtime, which is continuously updated (as is illustrated in FIG. 1B).

A card 70 which displays the top selling 5 products in terms of quantityor total revenue, or other business analytics results (as is illustratedin FIG. 1G).

A card 70 which displays information regarding user activity. Examplesmay include a blog system displaying a card 70 such as “There are 5 newcomments on the blog” (for new comments on the entire blog, this may besent to the blog owner) or “There are 5 new comments for blog post XYZ”(which may be sent to the post author, possibly different from the blogowner).

Such cards 70 may reflect the result of system business analytics orother analyses performed on site traffic and activity.

Such a card 70 may also be provided by a third-party application vendor,and in such a case may connect to a back-end application provided by thethird-party application vendor as well.

It will be appreciated that the use of such cards 70 may save onproducing numerous cards 70 (which would clutter the feed). A singlecard 70 may provide a display of the up-to-date information, and couldpop to the top of the feed when a significant event occurred (e.g. thetop selling product has changed).

It will also be appreciated that system 100 (and cards 70) may haveparameters which control their functionality. Such parameters may bespecified (for example) at the website level or in real-time by users 60(including both site owners and site visitors).

For example, a site may specify parameters for its business analytics(e.g. provide top sales analysis card every X days). The site owner mayoverride these parameters, and some or all users of the site may specifyparameters for specific cards 70 or for system 100 in general (e.g. cardfeed filtering and sorting criteria).

These system parameters may further depend on the specific site page orpage component(s) being viewed, i.e. a site page or component canrequest or set parameters for product card system 10.

When product card system 10 is integrated (e.g. as a side window) withwebsite building system 20, a specific page may request or affect thedisplay of cards 70 while a site visitor is viewing the page. It couldalso be implemented through 1-way or 2-way communication between thedisplayed primary web site (e.g. displayed on a mobile browser) and aninstance of product card system 10 implemented as a mobile applicationon the same mobile device.

Thus, for example, when user 60 visits a specific e-shop, product cardsystem 10 may highlight (e.g. through filtering, prioritizing or visualattribute modifications as described in more detail herein in below)cards 70 which relate to the specific e-shop, specific visited page orproducts related to the page. If (for example) a visitor is viewing afishing rod product page, product card system 10 may highlight cards(currently in the user feed) which refer to fishing-related or otherwisecomplementary products.

Reference is now made back to FIG. 3 which illustrates the sub elementsof product card system 10. As discussed herein above, product cardsystem 10 may comprise repository 11, card market place 101, cardcreator 102, card communicator 103, product matcher 104, external systemsupporter/integrator 105, card transformer 106, feed displayer 107, cardtransferrer 108, product classifier 109, rule engine 110, AI (artificialintelligence) analyzer 111 and external sensor and information receiver112.

Card information repository 11 may store pre-defined card definitions(in repository 11 e), visual widgets and views definitions (inrepository 11 a), actions type definitions (in repository 11 d), generalbusiness objects information/hierarchy (in repository 11 b), generatedcards (including visual widgets, underlying business objects, associatedaction information) and card feed content (in repository 11 c) and cardrule definition (in repository 11 f). Card rule definitions repository11 f may include databases storing card transformation rules, cardsadaption rules (including adapting existing cards to foreigninterfaces), business logic rules, filtering rules and card generationrules (including analysis of the data repository and finding conditionswhich lead to the generation of specific cards), prioritization rules,product matching history, user query history, collected businessintelligence and user/site relationship data (e.g. follow/frienddefinitions) as discussed in more detail herein below. It will beappreciated that the above-mentioned repositories may have vastly variedsizes and update rates. For example, operational data repository 11 cmay contain per-website building system-user and per-website buildingsystem-hosted-site-interaction data which may be substantially largerthan the other repositories. In an alternative embodiment, websitebuilding system 20 and product card system 10 may be substantiallyintegrated and some elements of card information repository 11 (such as11 c above) may be stored inside or as part of the website buildingsystem repositories 22 and 23.

Card market place 101 may provide an internal market place which mayallow various third/fourth party designers to offer card types for sale(similar to the app store concept).

Rule engine 110 may handle card-related events (e.g. creation, deletion,transferring, attribute changes, associated action activation etc.) andmay perform various system operations according to an underlyingbusiness logic defined using a set of rules stored in card rulerepository 11 f.

For example, product card system 10 may generate alerts or reports tothe site owner. A simple alert (on a hotel website) may notify the hotelwebsite owner of a new room reservation or a new arrival. A complexalert would notify the owner that a room planned check-out is followedimmediately by a planned check-in to the same room, and thus the roomneeds urgent cleaning or other handling. Such alerts or reports mayfunction as activation hook triggers to product card system 10 asdescribed herein below.

It will be appreciated that rules typically consist of an activationhook based on an event or event combination (e.g. operate when a card iscreated or modified) together with additional logical conditions (e.g.“operate only on Fridays”). These may include user defined or userrelated criteria related to indirect parameters of the card, such asattributes of user(s) referenced in the card. This could be used, forexample, to redirect customer questions chat cards to a Spanish-speakingvisitor assistance representative (which uses product card system 10)based on detection of the language used in the chat card or the countryof origin of the e-shop visitor.

It will be appreciated that rules may be created using a rule editor(possibly integrated with website building system 20) or a rulespecification language.

Rules may be pre-defined to create cards 70, modify cards 70 or deletecards 70. An example would be a rule applied on a hotel managementwebsite, which creates an alert card 70 whenever a room has a check-inand a check-out which are close together (e.g. less than X hours apart).The business object underlying the created card would be the specificroom involved. Such a card would be posted to the hotel shift managerfeed and to the feed used by the cleaning staff.

It will be further appreciated that business logic rules (which may beactivated due to system events) are different from the transformationrules defined earlier (which are activated when a card is transformedand govern the transformation process). However, a business rule mayalso invoke a transformation rule (so to create a transformed card underspecific business conditions).

System 100 may also support dynamically added rules, which are added(for example) by site owners through product card system 10 or anon-line version of the rule designer (as described herein below).

An example would be a rule added by a hotel site owner, when receivingnotification of a booking by an important repeat client, specifying thatthe hotel should provide certain amenities to this client upon check-in.

Such a rule would be activated upon the said check-in, and wouldgenerate an additional card detailing the amenities to be added.

In an alternative scenario, the hotel site owner may directly create areminder card 70 (rather than dynamically creating a specific rule).

Such rules may take the form of insights, similar to those created bysystem 100 in conjunction with business analysis cards as describedherein below. Such an insight may be an instruction or reminder for thesite owner to take some actions.

It will be appreciated that rules are typically defined by a site ownerthrough a rule definition tool or UI (the rule designer) integrated intoweb site building system 20. The rules are then stored as part of aper-site section of the card rule repository 11 f.

A rule designer may have an off-line version (for pre-defined rules) andan on-line version (for rules added dynamically during site operation).

It will be appreciated that there are many ways in which products may beclassified, including any of the following or a combination thereof.User 60 may explicitly set up the classifications (assisted by therelevant user interface, such as visual editor 26).

Product classifier 109 may classify products according to once receivedfrom user 60 such as products described in message cards (via text,voice, image, video or other media types) and not just site pages. Suchanalysis may require an advanced analysis (e.g. using AI analyzer 111).For example, a user 60 can post a picture showing 5 people wearingvarious shirt types, and ask site owners “do you have a shirt like thelong-sleeved one in this picture”. Product classifier 109 may useinheritance classifications (with modifications) from a template orother product definition which is used to construct the current productdefinition. Product classifier 109 may generate, for example, a ID orpointer into the business object taxonomy repository 11 b, a set of suchpointers or ID's, or a formal query which may be applied later to therepository 11 b. It should be noted that product classifier 109 maygradually modify and adapt repository 11 b based on previous productqueries and classification (and possibly inferences made by AI analyzer111), making repository 11 b a “live repository” which improves overtime.

Product classifier 109 may also classify based on analysis of the sitestructure (e.g., what is the relevant product page in the shoes sectionor the shirts section). Such product pages may be virtual pages, i.e.pages automatically generated based the content of a product database.

Product classifier 109 may also classify based on an analysis of thedisplayed (and possibly virtual) product page or its underlyingcomponents (e.g. a text analysis of the product description, imageanalysis of the product picture, using the price to determine betweenmultiple possible product classifications). It will also be appreciatedthat this analysis may be employed to classify product references inother cards such as a chat card discussing car types.

Product classifier 109 may classify based on an analysis of the dataitems underlying the product page. It will be appreciated that productcard system 10 may allow product classifications to be derived directlyfrom the underlying items, which may include additional or betterstructured information.

Product classifier 109 may classify based on site editing history (e.g.item X was added as a part of group of flannel men shirts). Such historymay be gathered based on actual site page usage, or based on use of thedata records underlying the generated virtual pages. It also mayclassify based on site usage history (e.g. previous manual matchingsmade between this product or similar products and other fully analyzedproducts) and learning (including deep learning) through AI analyzer 111using previous queries and matchings as described in more detail hereinbelow.

It will be appreciated that as is typical with product taxonomies(including, hierarchical taxonomies), a product may have multipleclassifications. Some of the classification techniques described hereinabove may also be based on matching the product against other products(which include classification information). Such techniques are alsouseful for use by product matcher 104 as described in more detail hereinbelow.

Card creator 102 may create cards 70 to represent activities and eventsin website building system 20. For example, whenever a shop ownerdefines a specific sale or promotion in his e-shop, product card system10 may create a specific “sale” card and may post it to the card feed ofthe store owner and the store visitors (and possibly to people whoexpressed interest in the store or the product, e.g. “followers”, evenif they presently do not visit the store). Product card system 10 mayalso aggregate multiple activities/events in website building system 20as a single card.

Reference is now made to FIG. 5 which illustrates the elements of cardcreator 102. Card creator 102 may comprise multiple receivers 1021, atype filter 1022, an action prioritizer 1023, a product processor 1024,an insight analyzer 1025, a card prioritizer 1026 and a card generator1027.

As described in US Patent Publication No. 2015/0089354 and discussedhere in above, created sites may include third party applications whichmay exchange information (with the website and with each other) usingstandardized, structured messages (activities). Some or all of theseactivities may correspond to specific cards 70 which may be created torepresent the messages and displayed in the relevant user feeds.

It will be appreciated that the creation of a card 70 (widgets, actionsetc.) may be based on pre-defined rules (stored in card informationrepository 11) which may specify under what conditions a card 70 shouldbe created. Based on an action or request trigger (such as theactivation hooks described herein above), multiple receivers 1021 mayretrieve and receive the associated card types/sub types, associatedwidgets and associated actions as stored in card information repository11 according to the relevant rules. The received trigger may sometimesalready have an associated card type/subtype (e.g. when system 100 isrequired explicitly to create an “order product” card) and sometimes maynot (e.g. the trigger is “the user entered shop X—do we have a cardassociated with this”). It will be appreciated that such rules may beevaluated based on the trigger itself, (e.g. the shop entry above),schedule (time X arrived) or periodically.

It will also be appreciated that in addition to the rules, card creator102 may create a card based on analysis performed by insight analyzer1025 and AI engine 111 as discussed in more detail herein below.

Multiple receivers 1021 may also receive any manually created cards 70by users 60 for generation and display as described in more detailherein below as well as requests to transform card 70 information asdescribed in more detail herein below.

It will be appreciated that third parties may also design a card orrelated element including layouts and design, the use of the third-partyapplications within the card, associated actions, back end logic(whether the cards 70 are run on the client, the system server or thethird-party server), new business entities, product categories andoperation rules. Such third parties may perform such card designoperation (for example) through provided tools (via website buildingsystem 20), via a definition language or programmatically though aprovided API (as discussed herein above). Such third parties may or maynot be vendors of third party applications for website building system20.

Card creator 102 may create a card 70 for a specific user 60 based onhis direct actions (e.g. a card 70 representing an order made by a sitevisitor). The incoming action may act as a trigger for card creator 102to create a card according to the rules and action definitions providedby rule engine 110 based on the rules stored in card rule repository 11f.

It will be appreciated that another trigger may be external real-worldinformation such as a user's live physical (e.g. GPS-basedlocation/speed/direction), environmental, biometric, physiological orpsychological parameters, as well as or interactions with other peopleor objects, as received from sensor 80. An example of this informationis tracking a user 60 entering or leaving a specific shop. The entry ofuser 60 into the shop may trigger a card offering sale items for theparticular shop. Conversely, a substantial physiological response to agiven system action such as a specific card 70 display (as detectedrelevant sensors) could also trigger additional product card system 10activity or factor as parameter for a rule which controls further suchactivity. It will be appreciated that such received information mayserve not just as a trigger but also as an input to card 70presentation, selection and ordering processing. These may be receivedby product system 10 via external sensor and information receiver 112and may be received by card creator 102 via receiver 1021 as a form ofaction trigger.

Card creator 102 may also generate a card relevant for the specific timeof viewing (e.g. “Your haircut is starting in 4 minutes”, or “Today 2new guests are checking into your hotel”) as well as a card 70 for thespecific user 60 based on analysis of the activity (direct user activityor visitor activity in a site owned by the user) of user 60. Examplesinclude business analytics results or site improvement recommendationsgenerated for the specific site owner (also known as insights).

It will be appreciated that card creator 102 may generate such businessanalytics cards 70 periodically (e.g. daily sales summary) or based ontriggers such as scheduled/calendar events (generating Christmas salecards when Christmas is approaching) or conditions (e.g.“Congratulations, your daily hammer sales exceed $1,000 for the firsttime!!” or “this product is in high-stock/low-demand, how about creatinga promotion for it?”).

Such a card 70 may also be initiated by the website building system 20vendor as a trigger based on analysis of the population of eligibleusers. Examples may include an “enter your store to the specialpromotion contest” card 70, or an “Upgrade your site to VIP hosting andreceive X, Y and Z” card 70. The analysis may be based on user and siteparameters as further described in US Patent Publication No. US2016/0350794 entitled “System and Method for Capability PackagesOffering Based on Analysis of Edited Websites and their Use” publishedDec. 1, 2016, now issued as U.S. Pat. No. 10,558,998 granted on Feb. 11,2020, and assigned to the common assignee of the present invention. Itwill be appreciated that the analysis itself may be fully automated ormanually initiated.

Another example would be a business analytics card 70 for a blog sitedisplaying the days of the week in which site visitors read the blog. If(for example) most site visitors visit the blog on weekends, system 100may place in card 70 an insight from the site manager suggesting to theblog owner to write new blog posts on a Thursday.

It will be appreciated that such an analysis may be made on behalf ofsite visitors as well (e.g. “Wow, you exceeded $1,000 in purchasesthrough our system in the last 12 months” or “here are the top 5 storesfor backpack X”). Such site-visitor-side analytics cards could reflectevents or analysis that spans multiple separate (but typically related)sites or working sessions.

It will be appreciated that the generated insight cards may bedesign-related in addition to the operational insights described above.Insight analyzer 1025 may analyze the site of user 60 (including thesite's components and layout, editing history, underlying site data,third party application/vertical usage history etc.).

Insight analyzer 1025 may also integrate the actual collectedoperational data and business intelligence for the current site togetherwith design and BI information gathered from additional website andmobile apps, including such sites and apps not visited by user 60.Insight analyzer 1025 may only be activated when enough relevant/similaradditional websites and mobile apps can be analyzed on aggregated level,to preserve the privacy and anonymity of these additional analyzedwebsites, prevent use of proprietary information which is not aggregatedfrom a substantial number of sites, and allow the analysis to havesufficient statistical significance. Furthermore, system 100 may offeran opt-in or opt-out mechanism, whereby a site would allow some or allof their information to be analyzed (and could specify whichinformation), for example in return for receiving similar analysis fromother sites or some other form of (monetary or otherwise) incentive.

The result of such analysis may include suggested changes andmodifications to the current site (or mobile app) which may be conveyedas insight cards 70 (e.g. “Many e-stores similar to yours have recentlyadded introduction videos to their opening screen, how about addingone?”).

Such insights may be purely design-related (“how about changing design Xto Y, it would look better”) or may be mixed design and operationalissues (“making change R to your site is known to provide better salesof product type Z”). Suggested changes include external as well asunderlying data (“content”) of the site or visual application. Forexample, if system 100 identifies that a certain product has low numberof views, but on the other hand has a high conversion rate(sales/views), system 100 can suggest upgrading the product to a morevisible place in the e-shop's product gallery (by suggesting a change tothe site content).

For some site changes, product card system 10 may offer to user 60 theoption to perform the change on his behalf (“press <do it> to have thesystem do it for you”) by instructing website building system 20 toperform the change, or by directing user 60 to visual editor 26,allowing him to modify the relevant pages and components by himself.

Insight analyzer 1025 may use methods described in US Patent PublicationNo. 2017/0032050 entitled “System Integrating a Mobile DeviceApplication Creation, Editing and Distribution System with a WebsiteDesign System”, published Feb. 2, 2017, now issued as U.S. patent Ser.No. 15/224,616 granted on Sep. 8, 2020, and assigned to the commonassignee of the present invention. Insight analyzer 1025 may furtherintegrate design quality and diversity metrics as further described inUS Patent Publication No. 2016/0371312 entitled “System and Method forthe Creation and Use of Visually-Diverse High-Quality Dynamic VisualData Structures”, published Dec. 22, 2016, now issued as U.S. patentSer. No. 15/244,579 granted on Jun. 12, 2018, and assigned to the commonassignee of the present invention.

As discussed herein above, AI analyzer 111 may make use of AI techniques(and deep learning in particular) to analyze the result of suchsuggested insights (if implemented). AI analyzer 111 may also accumulateknowledge about performed analyses, offered insights, implementation ofthe insights and the results of their use to provide a complete feedbackloop.

AI analyzer 111 may also use information from additional sites based onsimilarity parameters (geography, product types etc.) as well as producttaxonomy to analyze product similarity. AI analyzer 111 may alsoaccumulate knowledge about user 60 such as what interests them, theiruser behavior and preferences across multiple sites (such as producttypes viewed and purchased) and their interaction details, such asresponse time, exposure times etc.

As an example, card creator 102 may generate actionable recommendationsto users 60 based on a recent history of business events. For example,recommending to the e-shop owner to place a product on discount or topromote it on Facebook. As further detailed in US Patent Publication No.2015/0089354 and discussed herein above, created sites may include thirdparty applications which may exchange information (with the web site andwith each other) using standardized, structured messages (activities).Card creator 102 may rely on the activity history of the site as storedin repositories 22 and 23 to generate actionable conclusions andrecommendations.

In this scenario, receiver 1021 may select and receive the card typesand sub-types that are relevant for recommendation as insights.

Type filter 1022 may then reduce the set of received card sub-types to alist T (of card types and sub-types) by removing sub-types for thirdparty applications/verticals not installed on the site (e.g. removinghotels cards which are not relevant to an e-shop site).

Type filter 1022 may then remove sub-types that don't belong to thetarget's (e.g. visitor) category (such as a restock card), sub-typesthat are not associated with a business object and sub-types that don'thave an action related to a business object.

Action prioritizer 1023 may then remove irrelevant actions andprioritize the remaining actions, creating a list A (or relevantactions) associated with types/sub-types in T. Action prioritizer 1023may remove all actions that do not appear in list T and may assign anumeric priority for each action according to a pre-defined configurabletable that correlates priority with potential gain to business KPI's(Business Key Performance Indicators) by this action.

Examples may include: a “Promote on Facebook with ad budget” action=150(correlates to site KPI of more traffic), a “share on Facebook”action=100 (correlates to site KPI of more traffic), a “place ondiscount” action=80 (correlates to site KPI of increasing sales) and a“Write a new blog post” action=50 (correlates to site KPI of moretraffic by more content).

Other examples may include a “restock product” action=30 (correlates tosite KPI of increasing sales), a “contact customer” action=10(correlates to site KPI of increasing customer retention), an “openproduct details” action=0 (no correlation to any business KPI), a “seerecent orders” action=0 (no correlation to any business KPI) and a“remove all actions with priority value of 0”.

Product processor 1024 may then process the set of existing businessobject instances (e.g. “red leather shoes”) to create a recommended listby removing irrelevant business object instances and prioritizing theremaining ones, creating a list O (of business objects). Productprocessor 1024 may then remove business objects whose type isn't thetarget of an action in list A and for each remaining business objectinstance, query the history of activities relating to this instance.Product processor 1024 may assume that the generation of activitiescorrelates with increasing business KPI's, as for example “product Xsold” is an activity.

Product processor 1024 may then assign a numeric score, using thefollowing modifiers:

If the business object instance has N1 activities in the last D1 days,increase score by M1*N1 where M1 is a configurable modifier weightvalue.

If the business object instance has N2 activities in the last D2 days,increase score by M2*(Mx−N2) where M2 is a configurable modifier weightvalue and Mx is the max number of activities for this business objecttype.

Card prioritizer 1026 may create a prioritized list of suggested cards Cas a result of product processor 1024. Card prioritizer 1026 may pairall business object instances in list O with card sub-types in list T(that have matching business object type).

Card prioritizer 1026 may assign each such pairing the priority value ofPo*Pa where Po is the score of the business object instance in list Oand Pa is the score of the card's action in list A. It will beappreciated that due to the importance of parameter selection by actionprioritizer 1023, various value sets may be tested by website buildingsystem 20 using an experiment module (as discussed in US PatentPublication No. 2016/0124839 entitled “System and Method of HandlingComplex Experiments in a Distributed System”, published May 15, 2015,now issued as U.S. Pat. No. 10,733,078 granted Aug. 4, 2020, andassigned to the common assignee of the present invention). For eachvalue set, a large group of users (for statistical significance) istested and compared using top-level business KPI's of the system such assales volume or traffic.

Finally, card generator 1027 may generate the resultant card by bindingthe required fields in card 70, i.e. types, product information, widgetinformation, actions etc. based on card definitions repository 11 e.

It will be appreciated that card creator 102 may generate a card 70 foruser 60 based on the activities of another user which affect the currentuser 60. Examples include direct messaging from another user 60 e.g.chat request or product inquiry) or a notification of an incoming sitevisitor relayed to the site owner.

Card creator 102 may generate a card 70 due to various system noticesand alerts. These could be technical (e.g. site is down), operational(e.g. out of stock warning) or informational (e.g. increased traffic inspecific site section).

Card creator 102 may also generate a card 70 due to past user activity.For example, a product order made by a site visitor may be represented(until shipped or delivered) as a pending order card, possibly in bothsite owners' and site visitors' feed. Card creator 102 may also generateadditional or follow-up cards such as “your order X was shipped today”(or update a dynamic card as discussed herein above).

Card creator 102 may also generate a card 70 due to activities of otherusers and products followed by user 60. These could be the users'friends (if social networking functionality is implemented), e-shop andgroups subscribed by user 60 (e.g. “your favorite store just has aseason-end sale”) etc. It will be appreciated that this may apply tosite owners, i.e. a shop site owner may follow specific products to getinformation about industry trends.

As discussed herein above, website building system 20 may allow the siteowner (e.g. e-shop designer) to include banner ads in the edited site.This could be done manually (e.g. including a banner ad object withinvisual editor 26), or semi automatically as part of automatic productpage creation.

Thus, when the site visitor presses the banner ad, system 100 mayredirect the site visitor to specific (e.g. product) page, start a chatcard 70 or generate an order (with a matching order card 70).

In an alternative embodiment, system 100 may allow the site owner togenerate an “external” banner which may be placed in web pages outsideof system 100 (e.g. using a “make banner” button included in a productdatabase editor). Such banner ads may be packed into a set of files, maybe embedded in external web sites, and may perform any of the functionsabove even if invoked in an external system.

It will be appreciated that website building system 20 may also includefunctions which allow the user 60 (site owner or site visitor) toexplicitly create cards 70. For example, an e-shop primary applicationmay provide a UI whereby the site visitor may convert any single item(or an entire shopping cart) into a card using a “buy me now” orcheckout function. Product card system 10 may also allow user 60 tocreate cards which do not reflect actual activity in the websitebuilding system 20, e.g. creating a bookmark card for a product (“have alook at this shirt later” or “create a reference to this product in mychat session”), which doesn't affect any website building system 20ordering or other activity. Another example is a “share” functionalityon a product in the e-shop which will generate a card 70 for thisproduct for sharing on a various channel like a chat conversationwithout affecting website building system 20.

User 60 may also explicitly request to create a card 70 for acommunication purpose. An example case is when an e-shop owner iscommunicating with a visitor (e.g. real-time chat/instant messaging(IM)) and wants to share a card 70 with this visitor (e.g. recommend aproduct for purchase).

In this scenario, type filter 1022 may select the card types andsub-types that are relevant for the communication and reduce them to alist T by removing sub-types that cannot be shared over the relevantcommunication channel, removing sub-types for third partyapplications/verticals not installed on the site (e.g. removing hotelscards which are not relevant to an e-shop site), removing sub-types thatdon't belong to the communication target's (e.g. visitor) category (e.g.restock card) and removing sub-types that are not tied to a businessobject.

Next product processor 1024 may select the business object types (e.g.products) that are relevant for the communication and reduce them to alist B by removing business object types that do not appear in a card 70on list T, removing business object types that are incompatible with thetarget of the communication (e.g. “order” business object for a visitorwho never placed an order).

Product processor 1024 may then select the business object instances(e.g. “red leather shoes”) that are relevant for the communication.

Next product processor 1024 may reduce the list of all business objectinstances by removing business objects whose type does not appear inlist B and for business objects that have a pointer to a visitor (e.g.order points to a customer), removing all business objects not pointingto the target of the communication.

Product processor 1024 may then assign each remaining business objectinstance in list O a numeric score, using the following modifiers:

If the business object instance was last updated in the last D days (onday d), increase score by M1*([Current date]−d) where M1 is aconfigurable modifier weight value.

If the business object instance was last viewed by the initiator of thecommunication in the last H hours (on hour h), increase score byM2*([Current hour]−h) where M2 is a configurable modifier weight value.

If the business object instance was last viewed by the target of thecommunication in the last H hours (on hour h), increase score byM3*([Current hour]−h) where M3 is a configurable modifier weight value.

For keyword relevance product processor 1024 may generate a list ofkeywords K for the business object instance. These could be, forexample, explicit keywords already found in the data model or keywordscreated by splitting the content of some fields (like “title”) intowords. In this scenario, the modifier would be:

For every keyword in list K, that appears N times in the last W words inthe communication, increase score by M4*N where M4 is a configurablemodifier weight value and W is a configurable parameter as well.

Card prioritizer 1026 may then create a prioritized list of suggestedcards C as a result of the processes above. Card prioritizer 1026 maypair all business object instances in list O with card sub-types in listT (that have matching business object type) and may then assign thepriority according to numeric score value of the business objectinstance computed by product processor 1024.

It will be appreciated that the modifiers as discussed herein aboveperform the calculations based on the current date and time. However, anembodiment of the processes may perform this calculation for a differenteffective date and time.

It will also be appreciated that system 100 may support cards 70 whichrefer to abstract products rather than a specific product by a specificvendor (e.g. a website). For example, website building system 20 maysupport a “bookmark this product” function (which creates a cardpointing to a specific product in a specific e-shop). However, system100 may also offer a “bookmark this product type” function, which wouldcreate an abstract product bookmark card. Such an abstract product cardmay be used, for example, to search other sites for matching products(as further discussed below).

It will be further appreciated that cards 70 are generally created for aspecific user 60. However, system 100 may allow the creation of cards 70which are distributed to multiple users 60. For example, a martial artstraining group manager (e.g. chief instructor) may create a card 70describing a workshop to be run by a visiting senior teacher. Such acard 70 would be displayed to all group's website visitors (when theyvisit the website), and in the feed of all regular students of thetraining group (even if they don't visit the site).

It will be appreciated that a card 70 may also include a reference to aproduct or actions related to external systems 40, such as an Amazone-shop item.

Such cards 70 are handled as all other regular cards 70 (e.g. feeddisplay, transferring, product matching etc. as described in more detailherein below). Associated actions (such as performing the actualpurchase from Amazon), may be performed by redirecting to the externalsystem or (possibly) though website building system 20 acting asfront-end to the external system. As illustrated in FIG. 6 to whichreference is now made, product card system 10 may use mobile device 300,display interface app 310 and “buy” card 70 to perform a transactionwith external system 40 through the product card system 10 server.Device 300 may also connect directly to external system 40.

External system supporter/integrator 105 may analyze the product(s)described by the external reference and may instruct card creator 102 tocreate the card 70 using the external reference as an attribute.External system supporter/integrator 105 may perform a webpage analysis(or a similar analysis applied to displayed pages of a mobile purchasingapp). The analysis may include elements of the external page such as:actual external page underlying code (e.g. its HTML, JS or CSS),external page visual representation, the foreign reference location(e.g. page location in the Amazon web site), classification information,taxonomy references and text elements such as title, description,details, recommendations, or other product references.

External system supporter/integrator 105 may also analyze elements suchas the product's images, videos or media reviews, information about thepage or the product in 3^(rd) party resources (on-line or off-line) andmatching done against a similar or “neighboring” product, e.g. analyzingan Amazon product based on the analysis done on another (similar orsomehow connected) Amazon product.

Alternatively, external system supporter/integrator 105 may allow a cardaction to activate an external program such as drop shipping to anexternal system 40, operate an external printer or request a re-stockfrom a supplier by communication separately with his system.

It will be appreciated that such an analysis may also apply to theactions available for the external product (or other references). Thus,the above mentioned external reference cards 70 may be used in a numberof scenarios such as:

A site visitor asks a shop owner—“do you have item like Amazon item X”(or asks for support about it).

A site owner sends a message to a site visitor which refers to externalproduct (e.g. “you need Amazon product X to attend training session Y”or “our car works best with engine oil XYZ”).

System 100 may allow the visitor to order the product though web sitebuilding system 20, but such a request may typically just be re-directedto the product seller (e.g. Amazon), unless it is part of an affiliatearrangement.

It will be appreciated that the product reference is typically temporaryand that system 100 does not maintain the reference (e.g. if theexternal product page was moved or modified) and does not requireexplicit integration with the 3^(rd) party seller (except for theaffiliate arrangement).

External system supporter/integrator 105 may also adapt card 70 todifferent host environments and may provide a (dynamicallyloaded/updateable) set of adapters allowing cards 70 to operate withindifferent environments.

Once card 70 has been generated by card creator 102, card feed displayer107 may generate and continuously update the display feed of cards 70 touser 60 in a specific data feed or other scrolling display when user 60enters product card system 10. Feed displayer 107 may use multipledisplay forms (alternatively or simultaneously) in addition to a cardfeed form. For example, feed displayer 107 may support the presentationof cards 70 through a virtual keyboard (which can be used in a mobiledevice operating system). Such a keyboard may implement regular keyboardkeys, but may also display (for example) cards 70, card elements andadditional supporting “keys” such as relevant products, productattributes and product categories (which can be used for searching or tosupport chat activities). Such a keyboard may be specific to the currentsite.

Reference is now made to FIG. 7 which illustrates the elements of feeddisplayer 107. Feed displayer 107 may comprise a card retriever 1071, acard filterer 1072, a card feed prioritizer 1073, a feed manager 1074and card updater 1075.

It will be appreciated that feed processing is typically performed inthe front-end element of product system 10, though it may also be donein the back-end element of product system 10, or divided between the twoelements.

Card retriever 1071 may retrieve cards 70 from multiple sources such ascards 70 generated for the user 60 (as described herein above) by cardcreator 102 and cards 70 generated for sites selected by user 60 (e.g.sales promotions published by shops the user is interested in). Othercards 70 may be those specific cards (e.g. promotions) published by asite owner to visitors according to lists stored by system 100, such asa subscriber list, current visitors list, past site visitors list orpast purchasers list and cards 70 cards generated as part of a chatconversation initiated by site owner or site visitor. These lists may bestored in either repository 23 for website building system data or onoperational repository 11 c for product card system data.

Card filterer 1072 may filter the retrieved cards 70 for relevance to beplaced in the feed based on criteria such as: urgency (e.g. removenon-urgent cards 70), user 60 interest level and past interaction withsimilar cards in the past which could be based on user 60's owninteraction, user 60's friend's interactions, other interactions withthe same or similar sites (e.g. similar e-shops) or other interactionswith the same or similar products to these described in the evaluatedcard 70. It will be appreciated that the user 60 interest level in aspecific card 70 may be positive or negative. For example, system 100may allow a user 60 to swipe a card away, and then not present the cardto user 60 (and possibly similar cards 70 as well) for a given timeperiod (e.g. a week).

Card filterer 1072 may also filter based on user-defined criteria (e.g.areas of interest defined by the user, “don't show me spring salepromotions”, etc.). User defined criteria may also include productcomparison and matching criteria (e.g. “only show clothing promotion forblack outfits” or “only show yacht promotions for yachts like XYZ”).Such product comparisons may be based on the outcome of product matcher104 as described in more detail herein below.

Card feed prioritizer 1073 prioritize the cards 70 to be used in a feedand may use set card 70 priorities based on criteria such as giving highpriority/overriding visibility to “emergency” related cards 70 andpromoting paid content according to a given criteria (such as through abuilt-in feed advertising space exchange).

Card feed prioritizer 1073 may also use user 60 initiated criteria (e.g.“Always show any ‘out of stock’ card in my e-shop at the top of feed”)or other mechanisms which allow user 60 to gradually teach system 100about his interests (e.g. “Show me more/less cards like this one”).

Card feed prioritizer 1073 may also prioritize based on previousinteractions and engagements of user 60 with the specific card type orsub-types, specific vendor or vendor type, specific product or producttype etc. (as gathered by the system in a user activity repository).Such activities may be external to the card. For example, card feedprioritizer 1073 may recognize that a visitor is buying a lot oft-shirts, and thus promote t-shirt related cards, even if suchpurchasing was not done by responding to the t-shirt promotion cardsthemselves (e.g. pressing a “buy it” button) but rather done directly inthe relevant e-shops. AI analyzer 111 may further apply AI techniques ordeep learning to collected information related to any of the above.

Card feed prioritizer 1073 may prioritize cards 70 based on user 60making cards 70 or card categories “sticky”, by specifying theirexplicit priority, or (conversely) specifying that specific cards 70 orcard categories are less desirable or should not be shown for a certainperiod of time. Card feed prioritizer 1073 may further modify a cardpriority according to externally available information (e.g. increasingpriority and thus the visibility of sales-related cards 70 as a “BlackFriday” sales event date is approaching).

As discussed herein above, card feed displayer 107 may implement cardfiltering and prioritization by learning from user 60 about hisinterests during ongoing usage.

It will be appreciated that system 100 may maintain (in operational datarepository 11 c) multiple instances of a table having an entry for eachcard type and sub-type holding a numerical score per sub-type, known asa score modification number.

An instance of this table is maintained per user 60 and per medium ofcard 70 consumption. For example, website building system 20 may have 2users (an e-shop owner and an e-shop sale-person), 2 channels of cardconsumption (a feed in the website building system 20 desktop managementinterface website and a feed in a mobile app). Such a system may have 4instances of the table (2 users times 2 channels) for each cardtype/sub-type. These tables may be known as accumulated score tables.

It will be appreciated that rule engine 110 may maintain a list of rulesstored in card rule repository 11 f, e.g. a rule for each potentialsystem operation (not card actions) embodying a user 60 interaction witha card 70. For each such system operation the rule specifies a scoredelta (addition/subtraction) applied to the score of card 70 when thespecific interaction takes place. An alternative embodiment may includea multi-dimensional matrix of rules, e.g. having a rule for each systemoperation and card type/sub-type. The score delta is correlated with therequired user investment for doing this action. For example:

For cards sent via push notification, when push notification is clickedon when the system is inactive=increase score by 100 points.

Card being hidden=decrease score by 5 points.

Card being marked as completed=increase score by 10 points.

A card action is performed by the user (e.g. “See Order Details” for anorder card)=increase score by 10 points.

User clicks on system operation “Show me more of this card”=increasescore by 100 points.

User clicks on system operation “Show me less of this card”=decreasescore by 100.

User stops scrolling the feed when the card is in-screen=increase scoreby 1 point.

When the user performs a system operation for which a rule exists inrepository 11, the accumulated score table is updated according to thedelta score.

The next time the card feed prioritizer 1073 prioritizes cards fordisplay, card feed prioritizer 1073 considers the current score value inrepository 11 c. Card feed prioritizer 1073 may assign a numeric valueper card 70 instance and then may sort the available cards 70 accordingto this value.

By assuming that the current priority value for the card is V, card feedprioritizer 1073 may take the card sub-type, look it up in the relevantaccumulated score table instance and take the score modification numberS. It may multiply S by a pre-defined weight W (a configurationparameter of system 100) and add to V: meaning V′=V+S*W.

It will be appreciated that the feedback loop between updating theaccumulated score table and the numeric value assignment per card 70 maycontinue indefinitely as applied by AI analyzer 111. It will also beappreciated that various dynamic data structures as described hereinabove (such as the accumulated score table) are persistent, i.e. aremaintained continuously for user 60, and are not reset even if user 60works with system 100 through a series of separate sessions, or possiblyeven from multiple devices.

Due to the importance of parameter selection the scoring as discussedherein above, various value sets are tested website building system 20as discussed in US Patent Publication No. US 2016/0124839, now issued asU.S. Pat. No. 10,733,078. For each value set, a large group of users(for statistical significance) is tested and compared using top-levelbusiness KPI's of system 100 such as retention and general rate ofengagement with system 100. Such testing may be performed through anexperiment management system such as the one described in US PatentPublication No. US 2016/0124839, now issued as U.S. Pat. No. 10,733,078.

It will also be appreciated that the processes as described herein inabove, function and the accumulated score tables are kept for a user 60within the context of the user's engagement with a single site. This maybe done even though a single user 60 may connect (and interact) withmultiple sites in multiple roles. Thus, for example, a user 60 may bethe owner of one site, a salesperson on a 2^(nd) site and a visitor orpurchaser in a 3^(rd) site.

Applicants have realized that users 60 may show very differentengagement patterns for the different sites with which they areinvolved. For example, a single user 60 may be interested in bookings inone site, and interested in blog activity in another site.

Thus, card feed displayer 107 may display alternative card feeds foreach site, or alternatively provide a single unified feed whichintegrates the interactions with multiple sites. In the latter case,card feed displayer 107 may employ a merging algorithm based on the card70 priorities derived above for each site's cards 70. Such a mergingalgorithm may merge the results of multiple instances of the singleuser/site process.

In an alternative embodiment, system 100 may maintain accumulated scoretables in repositories 11 c and 23 which relate to specific user/sitegroups rather than specific users (i.e. providing score modificationnumber which can be applied to multiple users 60 or sites rather thanspecific users 60). Such a group may include user 60 classes (such asdesigner/shop owner/visitor) rather than a specific user, sites type,geography, or any of the criteria specified for population selectioncriteria as described in US Patent Publication No. US 2016/0124839, nowissued as U.S. Pat. No. 10,733,078).

These scores from such group-based accumulated score tables may have alower weight and card feed displayer 107 may typically optimize for aspecific individual user 60, as the individual user's history is theoptimal way to estimate the preferences of user 60. Card feed displayer107 may use AI analyzer 111 (based for example on a deep learningalgorithm) to determine the best way to integrate the individual userand various group-based scores.

As discussed herein above, card filterer 1072 and card feed prioritizer1073 may depend on weights which may be gradually modified by card feeddisplayer 107 based on the user's use of system operations or associatedactions. For example, a (repetitive) use of a “hide this card” or “don'tshow cards like this anymore” would lower the priority of a specificcard type, or cause it to be filtered out altogether.

Product card system 10 may provide specific variants of the feed displayfor site owners and site visitors (as well as other user categoriesdescribed above). Furthermore (and as described herein above) identicalcards displayed in feed for different user types may have differentwidgets (as discussed in more detail herein below) and thus a differentvisual representation.

Feed manager 1074 may support additional operations on cards 70,affecting the cards 70 themselves and their appearance in the feed. Suchoperations may include (for example): re-sort feed, filter feed,hide/unhide cards, delete cards, archive cards and add notes to cardsand set attributes (e.g. used to prioritize cards 70).

Feed manager 1074 may also provide an explicit “search my feed”mechanism to provide current and historical feed searching and card feedselective highlighting, e.g. change card background color to red for allcards reporting stock shortage.

Feed manager 1074 may also collapse multiple cards, i.e. merge cardswith related elements into a single card. Feed manager 1074 may mergecards 70 based on product similarity i.e. may merge cards 70 whoseproducts are similar when compared using a product semantic tree. Forexample, merge multiple shirt-related cards 70 into a single card 70.Feed manager 1074 may also merge cards 70 based on user interests, forexample, if card feed displayer 107 detects that the user is interestedin shipping times, feed manager 1074 may merge cards related to shippingtimes and re-arrange them in calendar or date list format (according toshipping time).

It will be appreciated that the fed may act as a focal UI point for thevarious actions which can be performed on each card 70 (such as thecards' associated action, transfer, transform etc. as discussed in moredetail herein below).

It will also be appreciated that changes made to card 70 may affect itsattributes as far as the filtering and prioritizing above are concerned.For example, each order to the e-shop may result in card 70 beingdisplayed in the merchant's feed. A merchant may get an order and markit as “shipped”. The priority assigned to a pending (not yet shipped)order card may be different, and typically much higher, than thatassigned to a card associated with a product which was already shipped.

Card filterer 1072 may also filter potential cards 70 according to therequirements or context of user 60 and according to a specific actionthat user 60 is trying to do. For example, an e-shop owner engaged in achat conversation with a visitor can share a card with the visitor. Thecards available for sharing will be ones most relevant for this sharingcontext (e.g. product cards/promotion cards 70).

It will be appreciated that card feed displayer 107 may support a cardfeed which includes cards 70 based on real-time updated info from system100 (live cards).

Card updater 1075 may update cards during their display in the feed.Card updater 1075 may also use pre-defined rules as stored in repository11 f, rules under which card 70 may be updated. It will be appreciatedthat cards 70 may appear or disappear based on the updated informationand that their presentation and priority within the feed may be affectedby this live data. The changes to the card 70 presentation may becomplex, based on specific update functionality included with the widgetdefinition in widget repository 11 a. For example, a card may show alive graph of the current number of visitors in a site (as reported bywebsite building system 20's hosting server), or a running graph ofexternal data (such as a given share price).

It will be appreciated that cards 70 may be affected by real-timeupdated information from system 100. These cards may be known as livecards 70. Card updater 1075 may as a result, add or remove such cards 70to/from a feed or may change their presentation or sort order. It willalso be appreciated that card updater 1075 may turn such a live card 70into an interactive card 70. An example may be the addition of a tip toa restaurant payment card.

As discussed herein above, system 100 may provide a set of genericoperations on cards 70, which are distinct from the card's own built-inactions/operations. Some operations may be available for all cards 70,user categories and interface application, and some may be provideddepending on each of these parameters (i.e. card type/sub-type, usercategory and interface application type). Such operations may includearchive, delete, hide/unhide, add notes etc. (as described in moredetail herein below).

It will be appreciated that cards 70 may be sent or transferred(together with their actions) between all users 60 (i.e. allcombinations of user categories). Sending may be considered the originaltransmission of 70 card to a given user (from another user or from thesystem itself). Transferring may occur when user 60 takes a receivedcard 70 and re-sends it to other users 60 of system 100. Transferringmay involve transforming the card (as described in more details hereinbelow).

For example, a site visitor may receive a proposed product offer from asite owner and transfer it to one or more of his friends (a “see thisgreat offer” card).

A site visitor may receive a product offer card 70 from an e-shop andtransfer it to the same e-shop (e.g. “do you have this in black?”) oranother e-shop (e.g. “do you have a similar product?”). This may involvetransforming or otherwise modifying the card, e.g. by changing theunderlying product or product definition or by adding additional notesand parameters.

A site owner may receive an order card 70 from a site visitor, detect(or be notified) that he is about to be out of stock, and transfer thecard to his supplier as a “restock” request card. In this scenario, card70 is transformed as well.

A site owner for a franchisee may receive an order card 70 from a sitevisitor, determine that he doesn't have the required product, andtransfer the card for fulfillment by another franchisee of the samefranchisor.

Card transferrer 108 may receive the transfer request and may instructcard creator 102 to create one or more new cards 70 (based ontransforming the received card 70 and using data from such received card70) and may then transfer the newly created cards accordingly.

For example, system 100 may handle a received hotel reservation cardwhich causes very high occupancy by creating an order card 70 for acleaning company to send extra cleaners or for the laundry company tomake laundry more urgent. The created card(s) 70 may include informationextracted from the original hotel reservation card and transformed intothese cards (such as room numbers to clean).

Similarly, system 100 may handle a high registration to a seminar bycreating relevant order cards 70 for more trainers or a larger space.

Card transferrer 108 may transfer these cards via multiple channels suchas within product card system 10 itself, e.g. through unicast ormulticast channels.

Card transferrer 108 may also transfer these cards via a site promotionsub-system within website building system 20, e.g. a “promote my site”option in website building system 20 which generates promotion cards inthe product card system 10 (in addition to other activities such ascreate a promotion e-mail).

Card 70 transfer may also be done via existing communication channels,such as e-mail, social networks, chat system and other messagingsystems. Examples may include, sharing a card 70 in a chat conversationinternal to system 100, sharing a card 70 externally on Facebook,sending a card externally to an external chat program (such as FacebookMessenger or Apple iMessage chat) through their 3^(rd) party plug-inmechanism (e.g. iMessage Apps) and sharing a card 70 externally betweenmobile apps on the mobile device using a predefined API of the hostoperating system (e.g. Apple App Extensions)).

As discussed herein above, system 100 may allow cards 70 to betransformed into new cards 70 which contain information or are otherwiserelated to the original (untransformed) card 70. Such transformed cardsmay replace the original card 70, e.g. an e-shop site owner may converta product inquiry card into a suggested product card 70 and may createan additional (but still related) card 70, e.g. a hotel site operatormay transform a room booking card (which requires check-in to beperformed shortly after the previous check-out) into a newly created“urgent room cleaning request” card, while retaining the original roombooking card.

Card transformation may be manual (e.g. performed by the site owner oroperator), or may be performed automatically by card transformer 106.

Card transformation may also affect a single card, or change ‘n’ cardsinto ‘m’ cards (e.g. by merging or splitting cards).

It will be appreciated that transformation may affect presentation, mayinvolve the use of alternate widgets or layouts and may affect productdefinitions. Transformation may also be based on product comparison viaa product semantic tree as well as based on the result of productmatcher 104. Product matching can also include matching of partiallyspecified business objects.

It will be appreciated that card transformation is distinct from cards70 having multiple widgets (i.e. multiple views). A multi-widget card isa single card 70 containing content and attributes that may be presentedin several ways. Transformed cards 70 may differ in type and attributesfrom the original cards 70.

Card transformation is often used in conjunction with card transferring,though the two are distinct and may be used separately.

It will be appreciated that card rule repository 11 f may also include arepository of transformation rules. This could be a system 100 widerepository, or one based on definitions associated with each card 70definition. Rules may be hard-wired and may also be created or modifiedthrough a rule editor.

These transformation rules define for each card 70 into which cards itcan be converted, and how the card's content, fields and attributes arehandled and mapped. The transformation rules may also define specificconditions under which automatic transformation may be performed (or amanual one allowed). For example, a site visitor's order can betransformed into an order from the store to the store's supplier if thespecific product supply is running short.

Card transformer 106 may receive instructions to transform a card 70 andmay check the associated transformation rules which may include: Genericsystem level rules (“a product request card 70 can only be transformedinto an order card and the fields are mapped X=>Y, Z=>W”), site-specificrules, e.g. when a site uses new card types or a combination of the two.

As an example, a site visitor may receive a product offer card 70 froman e-shop and transfer it to the same or another e-shop (“do you have asimilar product?”) while transforming or otherwise modifying card 70,e.g. by changing the underlying product or product definition or byadding additional notes and parameters. The visitor may edit the productduring the transformation, combining various product and productattribute changes and overriding existing attributes.

Card transformer 106 may also forwarding card 70 as well as collapse it,i.e. card transformer 106 may merge cards 70 with related elements intoa single card 70. It may also merge cards 70 based on product similarityi.e. e cards whose products are similar when compared using a productsemantic tree. For example, merging multiple shirt-related cards into asingle card.

Card transformer 106 may merge cards based on user 60 interests. Forexample, if system 100 detects that user 60 is interested in shippingtimes, card transformer 106 may merge cards related to shipping time andre-arrange them in calendar or date list format (according to shippingtimes). Transformations may also affect card sorting order.

As discussed herein above, a site owner may receive an order card 70from a site visitor, detect (or be notified) that he is about to be outof stock, and transform the card 70 into a “restock” request card to besent to his supplier.

A visitor may send a product inquiry card 70, and the shop owner mayconvert this card 70 into an answer card 70 containing a specificproduct or gallery of product. Such an answer card 70 may also have a“buy me” button for fast checkout.

As discussed herein above, a shop owner may take a product page (fromhis own or other sites) or a card 70 from a different merchant andcreate a card from it. This could be done, for example, to create apromotion for the modified product.

As part of the card creation process, the shop owner may transform theproduct definition, e.g. take a green shirt product page (from his orother sites) and create a query card asking his wholesaler if he has asimilar model in red.

Such transformation may be manual by having the merchant manually modifythe product's attributes through a suitable interface.

Alternatively, card transformer 106 may match the reviewed productdefinition against other product definitions (e.g. product definitionsof the target business). This may be performed by automatic matching ofproducts, product attributes and tags, possibly through a product orattribute taxonomy. Product matcher 104 may utilize AI analyzer 111 tolearn of previous matches done by system 100 as described in more detailherein below. Card transformer 106 may further allow the user (e.g. shopowner) to override some or all the attributes of the suggested match.

As described here in above, product matcher 104 may match a product (orbusiness object) described in a specific card 70 with one or more otherproducts. This may be performed as part of a product searching process(e.g. “find a blue t-shirt similar to product X” or “do you have thatmountain bike model with brakes made by X?”), possibly involvingcomposite queries (i.e. combining multiple product references). This maybe performed when suggesting an alternative product or as part of aproduct classification process (e.g. when analyzing an externalproduct).

Product matcher 104 may match products against product sets definedinternally by product classifier 109, or defined in one or more externalsites (e.g. non-system e-stores such as Amazon). It will be appreciatedthat for internal products, system 100 may have internal descriptorsdetailing the attributes of the various examined products. On the otherhand, for an external product, system 100 may only have access to theuser visible product page, requiring product classifier 109 toautomatically classify them as discussed herein above. Alternatively,some external sites may provide a product information access API(providing structured product information) which can be used by productclassifier 109.

It will be appreciated that the matched products may be actual products(having concrete product ID and attribute set) or partially-specifiedproduct descriptions and categories (“a blue turtle-neck men's shirt”).

A search by product matcher 104 may involve products from multiple(internal and external) sites. Thus, for example, a visitor may ask thesystem to “find me any store which offers a blue turtle-neck men'sshirt”.

It will be appreciated that product matching may be exact orapproximate. Even an approximate product match may be useful, as it mayallow (for example) a shop owner to offer an alternative product (“howabout the turtle-neck men's shirt in light blue and silver instead?”).

Product matcher 104 may perform product matching according to theattributes or classification of the product. Classification comparisonmay involve using a classification taxonomy tree.

Product matcher 104 may also match according to the system attributes ofcard 70 or the product (e.g. using the same template, data itemdefinition or similar system parameters).

Product matcher 104 may match based on analysis of the displayed productpage or its underlying components (e.g. text analysis of the productdescription, image analysis of the product picture, using displayedproduct attributes if internal attribute representation is notavailable).

Product matcher 104 may match based on the site usage history, includingprevious manual matchings made between this product or similar productsand other fully analyzed products by the same user or other users.

Product matcher 104 may also use learning (including deep learning) viaAI analyzer 111 of previous queries and matchings. The use of previousmatching history (manual or automatic), including that made by otherusers of the system 100, may enable product matcher 104 to learn frommanual matching decisions made by the current or additional site ownersor site visitors. Thus, if many users matched item X to item Y, productmatcher 104 may determine them to be alternative or at least similar,even if their state's attributes do not indicate such similarity.

It will be appreciated that product matcher 104 may use any of the abovementioned matching techniques or a combination thereof.

It will be further appreciated that product matcher 104 may apply thetechniques discussed herein above to perform matching of businesses, andnot just of products or product definitions. This may become more andmore relevant as the number of businesses within system 100 grows. Suchmatching may be used (for example) for business location, or for system100 to offer alternative suppliers (and not just for a specificproduct), e.g. “You reviewed these 3 different shirts, there is anadditional e-shop for similar shirts in X”.

The matching may also be product (area) specific, i.e. business Amatches businesses B1/B2/B3 in the area of shirts, but businessesC1/C2/C3 in the area of sports goods.

The matching could be based on analysis of the offered products, butalso based on actual sales results, if available and subject to businessprivacy issues. Such business matching may typically be offered as anopt-in service arranged using “circles of references”. Thus, a shoebusiness X may elect to opt into a “top shoe” circle, so that his sitevisitors may be redirected to other businesses in the same circle, butonly if other business will also be redirecting visitors to site X.Furthermore, site owner (or the circle) may set specific conditions forredirections, e.g. only redirect if “I'm out of stock for specific itemsor specific item categories”. Then product matcher 104 may offermultiple such circles, involving different business and differentreferral conditions.

Card communicator 103 may handle all card 70 related communication androuting between the elements of product card system 10 as describedherein above.

As discussed herein above product card system 10 may be integrated withwebsite building system 20 in several ways as discussed in more detailherein below.

It will be appreciated that the same product card system 10 instance mayinteract with multiple websites (or other applications) created and/orhosted by website building system 20. Product system 10 may alsosimultaneously interact with standalone visual applications 30 not builtusing the website building system 20 (but containing a plug-in oradapter connecting them to product system 10). Thus, a single card 70feed displayed by product card system 10 may include cards 70 frommultiple website building system 20 built stores (which may support theintegration points described below) and non-website building system 20built stores (which do not support such integration).

As discussed herein above, widgets or views are an essential part of themakeup of card 70 and system 100 may allow card widgets (or views) to becreated and edited through website building system 20 manually,automatically or semi-automatically. The person performing such creationmay be do so though widget creator 24 as discussed in more detail hereinbelow.

Website building system 20 may provide a (possibly scaled-down) versionof visual editor 26 for the editing of card widgets. The edited widgetcomponent definitions may include additional hints and informationrequired to define the data bindings between the created widgets and theunderlying business objects (e.g. as described in US Patent PublicationNo. US 2014/0282218 entitled “Device, System, and Method of WebsiteBuilding by Utilizing Data Lists”, published Sep. 18, 2014 and assignedto the common assignee of the present invention.

Visual editor 26 may typically be used by the website building system 20vendor internal staff and possibly by the vendor staff of thethird-party application. However, website building system 20 may providea further limited variant of such editor which may be used by siteowners (e.g. to create custom or branded designs for cards generated bytheir site) or by external third parties. System 100 may also offer aseparate editor for cards 70 and their elements (distinct from visualeditor 26). The created cards 70 may then be offered through the cardmarketplace 101.

System 100 may allow widget definitions to be created in conjunctionwith the product page definitions. This typically applies toproduct-related widgets and not to other visual widget types (businessanalytics, chat etc.).

Such creation may be done manually by editing the widget definitionsimultaneously with the editing of the relevant product page (e.g.having a multi-view or multi-layer editor).

Alternatively, website building system 20 may allow the widget designerto select visual elements from the product page (or template) for use ina widget and possibly add display hints and data binding information.

It will be appreciated that a card 70 definition may have multiplewidgets associated with it in card definitions repository 11 e. Thiscould be for any combination of the situations described herein above.These may include use of multiple widgets for presentation on multipleplatforms or multiple display configurations (e.g. screen sizes ormobile vs. desktop), different users classes (e.g. display to site ownervs. site visitor), multiple possible card presentations (e.g. dependingon the attributes specified for an underlying business object), multiplewidgets used in different times or under different conditions (e.g. apending order card shown to a site user can use 2 widgets, one whichincludes a cancelation option and one which doesn't depending on theavailability of such cancelation option). Furthermore, a single card 70may visually combine multiple widgets, e.g. an order card 70 may beassociated with one widget which provides the card's main visualstructure and options, and an additional set of widgets from which onemay be dynamically selected (and possible adapted) by card creator 102according to the actual set of attributes of the ordered product.

Widget creator 24 may then create the matching widget by automaticallyconstructing a view displaying the specified fields, possibly usingdynamic layout information associated with the visual elements. Widgetcreator 24 may allow user 60 to edit and re-arrange theautomatically-constructed widget. Such a procedure is described in U.S.Pat. No. 9,747,258 entitled “System and Method for the Creation and Useof Visually-Diverse High-Quality Dynamic Layouts”, issued Aug. 29, 2017and assigned to the common assignee of the present invention.

Widget creator 24 may select a matching view from predefined viewsstored in widget repository 11 a, or may select such a view and adaptit. Such a procedure is described (for example) for the dynamic matchingand adaptation module which performs view to item matching as describedin US Patent Publication US 2014/0282218.

Widget creator 24 may also select and/or adapt existing card views (orother design sources) and locate a set of matching views extracted frommultiple sources, allowing user 60 to select the best view. Such aprocedure is described (for example) for the layout search and generatorand the layout filter and ranker as described in the U.S. Pat. No.9,747,258 and US Patent Publication No. US 2016/0371312, now issued asU.S. Pat. No. 9,996,566.

It will be appreciated that the same product page may be related tomultiple widgets, e.g. an “order tracking” widget and a “productpromotion” widget, having substantially different layout and design.

As discussed herein above, in some cases the product card system 10display (and the card feed in particular) may be integrated with thewebsite building system 20 display, e.g. as a side-by-side windowdisplay or as a newsfeed sub-frame inside website building system 20'sown editing environment display or inside visual applications 21 createdby website building system 20. This may also apply to standalone visualdesign applications 30 (both websites and mobile apps) which werecreated using a platform or technology providing an appropriate plug-inor interface to product card system 10.

In such a scenario, the website building system 20 owner may want toadapt the interface system display (fully or partially) to the look andfeel of the visual application which “hosts” the product card system 10display.

Visual adapter 25 may allow card widget designs to explicitly inheritstyles and layout information from the hosting page (while possiblyapplying pre-defined default values in case the hosting page doesn'tprovide the relevant information).

Visual adapter 25 may allow the hosting page to explicitly overridestyle and layout elements in the displayed cards as well as allowing thehosting page to provide an alternate widget template to be used by therelevant card 70 (subject to re-binding of the data of card 70 asperformed by card creator 102).

An example of a card action scenario using system 100 may include abuyer requesting a shirt by sending a shirt request card to the store.The shirt request is a non-specific one, describing the shirtsproperties without providing an exact product ID (or link to a specificproduct in the e-shop).

The store owner returns with a transformed card 70 describing one ormore alternative shirts (e.g. including a response gallery displayingoptions). This could be done through a matching process using productmatcher 104 as described herein above. The matching could be madeagainst the same e-shop, other e-shops in system 100 or external sitesand e-shops. The process could be manually assisted by the e-shopoperator (e.g. if he would like to add a possible offer from externalsites for which the system does not have a product matching interface).

The buyer selects the desired shirt card 70 (or shirt-displaying galleryoption) and orders it. The relevant visual application (e-shop or other)may determine that product stock is too low and if so creates anadditional re-stocking card and sends it to the e-shop supplier.

In another scenario, the buyer takes a card 70 describing one of theshirts proposed by the shop owner. The buyer then transforms it into arequest card 70 and transfers it to an alternative supplier. Thealternative supplier then responds to the buyer.

In yet another scenario, the buyer takes a card 70 describing one of theshirts proposed by the shop owner and transforms it into a query card,possibly modifying the card and changing some attribute and conditions,e.g. “find shirt #5 but with shorter sleeves”.

The buyer then requests that product card system 10 matches it against apossible product offering by a set of suppliers. These could be (forexample) suppliers in general, suppliers selected according to specificcriteria (e.g. “within 10 miles”), suppliers associated with relevantproduct classifications or suppliers followed by the buyer. In analternative scenario, an additional system, such as the e-shop's ERPsystem may be added to system 100.

Another possible set of scenarios is the use of system 100 support sitevisitor interaction through chat.

Product card system 10 may support chat with an anonymous visitor (byproviding a notification to the site manager). Product card system 10may preserve the visitor's privacy, and will only share (as part of thenotification and follow up chat session) limited information with siteoperator 60. Thus, product card system 10 may provide site operator 60with information about the visitor's country of origin and the pages inthe specific managed site visited by the visitor, but would not provideother information product card system 10 has on the specific visitor(such as information known to product card system 10 about the visitor'sactivities in other sites not managed by the same site operator 60).

The visitor may ask about a product (which he didn't locate). Thevisitor may also use a card 70 (from the same site or another sitehosted by the system) as a model for the desired product.

The site manager may send a card 70 linking to a specific producttogether with an action (e.g. a “buy product X” card), including anembedded image with the details. Such a card 70 is essentially a“reverse order”, sent from the site manager to the visitor (instead ofthe other way around). An order may arrive as a push notification on theinterface application site manager's phone (if not made during thechat). The site manager can also send a “transfer to page” notificationto the user to point the user directly to a given page in the site.

These chat scenarios are different from the ordering-related scenariosabove in that the discussion is in the context of a chat session (withthe visitor possibly remaining anonymous) rather than using explicitrequest/order cards. The chat cards may still include product referencesas discussed herein above.

It will be appreciated that system 100 may include several elementscomparable to those found in a social networking system, such as theability to “like” a product or a page through a built-in “like”mechanism, the ability to share a product, a page or a card bytransferring it to third parties, the ability to follow or subscribe tospecific sites (e.g. e-shops) and having a card feed reflecting systemactivity.

It will be further appreciated that system 100 may implement additionalsocial network type features such as inter-user friend relationships andthe creation of groups to which users may subscribe.

Applicants have realized that system 100 may differ from existing socialnetwork systems in having an underlying 3-entity model.

Reference is now made to FIGS. 8A, 8B and 8C which illustrate threetypes of social networks. It will be appreciated that some existingsocial networks (such as Twitter) have an underlying 1-entity modelmainly based on users and their relationships (as illustrated in FIG. 8Ato which reference is now made). In FIG. 8A, all the circles representusers. The circles within the clouds may be considered internal usersi.e. those registered within system 100, and the circle outside of thecloud represents a sole external user that is not registered andtherefore not known to system 100. Users may befriend (or in Twitter'scase unidirectionally follow) other users and external (non-networkusers) may also visit or view network user information.

Other existing social networks (such as Facebook) have an underlying2-entity model based on users and content providers (i.e. pages). Pagesmay include multiple page types (e.g. group, business, artist, brand,etc.) as well users' own personal pages. Users may subscribe to pagesvia group membership, page following or liking or (indirectly) throughfriend relationships.

Reference is now made to FIG. 8B which illustrates such a networkcontaining personal pages A′ to F′ for users A to F and other pages(e.g. group, business or artist) X1 to X3. Users A, B and D subscribe(for example) to page X1. User D is also “soft subscribed” to page E′since user D is a friend of E.

Thus system 100 may comprise a 3-entity social network. Under thismodel, business object classifications (and product types in particular)may form a third set of objects in the social graph, in addition to theusers and the content providers. Reference is now made to FIG. 8C whichshows how a network may contain users (A to D), content provider pages(A′ to D′ and X1 to X4 with X4 containing X4A and X4B) and businessobject classifications (Z1 to Z3 with Z3 containing Z3A and Z3B).

Both content providers and users may create multiple associations withvarious such classifications, including both explicit associations (i.e.explicitly connecting to classifications) and implicit association(created for example by user 60 posting or sharing an item related to aspecific classification).

As illustrated in FIG. 8C, a user A is associated with classification Z2and user C is associated with classifications Z1 and Z3. Furthermore,content provider X4 includes content item X4A (associated with Z1 andZ3A) and content item X4B (associated with Z3 and Z3B).

It will be appreciated that an architecture may allow users 60 to followa given classification/product class (e.g. leather outfits) and receiveupdates from multiple leather outfit sellers, without having toexplicitly associate with any such seller.

It may also allow (for example) a mountain bicycle seller having a pagewithin system 100 to contact all users associated with a specific subcategory of mountain bike associated users (such as full-suspensionmountain bikes).

The architecture may also allow a content provider to link his entirepage to a set of business object classifications. Alternatively, he mayconnect specific sub-elements of his page (e.g. specific blog post orsuggested product) separately to their relevant business objectclassifications.

It may also allow queries to be made (by both users and content providermanagers) based on the interconnection and association graph.

Thus system 100 may provide a system for linking users and systems witha feed of actions via product centered widget cards. System 100 also mayimplement such 3-entity social network as part of the system underlyingcard creation and use.

Unless specifically stated otherwise, as apparent from the precedingdiscussions, it is appreciated that, throughout the specification,discussions utilizing terms such as “processing,” “computing,”“calculating,” “determining,” or the like, refer to the action and/orprocesses of a general purpose computer of any type such as aclient/server system, mobile computing devices, smart appliances orsimilar electronic computing device that manipulates and/or transformsdata represented as physical, such as electronic, quantities within thecomputing system's registers and/or memories into other data similarlyrepresented as physical quantities within the computing system'smemories, registers or other such information storage, transmission ordisplay devices.

Embodiments of the present invention may include apparatus forperforming the operations herein. This apparatus may be speciallyconstructed for the desired purposes, or it may comprise ageneral-purpose computer selectively activated or reconfigured by acomputer program stored in the computer. The resultant apparatus wheninstructed by software may turn the general-purpose computer intoinventive elements as discussed herein. The instructions may define theinventive device in operation with the computer platform for which it isdesired. Such a computer program may be stored in a computer readablestorage medium, such as, but not limited to, any type of disk, includingoptical disks, magnetic-optical disks, read-only memories (ROMs),volatile and non-volatile memories, random access memories (RAMs),electrically programmable read-only memories (EPROMs), electricallyerasable and programmable read only memories (EEPROMs), magnetic oroptical cards, Flash memory, disk-on-key or any other type of mediasuitable for storing electronic instructions and capable of beingcoupled to a computer system bus.

The processes and displays presented herein are not inherently relatedto any computer or other apparatus. Various general-purpose systems maybe used with programs in accordance with the teachings herein, or it mayprove convenient to construct a more specialized apparatus to performthe desired method. The desired structure for a variety of these systemswill appear from the description below. In addition, embodiments of thepresent invention are not described with reference to any programminglanguage. It will be appreciated that a variety of programming languagesmay be used to implement the teachings of the invention as describedherein.

While certain features of the invention have been illustrated anddescribed herein, many modifications, substitutions, changes, andequivalents will now occur to those of ordinary skill in the art. It is,therefore, to be understood that the appended claims are intended tocover all such modifications and changes as fall within the true spiritof the invention.

What is claimed is:
 1. A system, the system comprising; at least oneprocessor; a message system running on said at least one processor tocreate at least one actionable widget card associated with a websitebuilding system (WBS), said WBS to host multiple websites, wherein saidwidget card implements at least e-commerce related operations for aproduct, said message system comprising: at least one database to storeparameters for said multiple websites, pre-defined rules concerning carddefinitions, pre-defined widget card parameters and a productclassification taxonomy; and at least one card product system to receivea trigger from a website from said multiple websites, said triggerassociated with an action related to said product and to generate saidactionable widget card associated with said product according to saidaction, said classification taxonomy and at least one of: said websiteparameters, said pre-defined rules and said pre-defined widget cardparameters wherein said message system enables communication via saidactionable widget card between at least one of: said WBS and saidwebsite, said website and at least one user of said website and-betweensaid user and a second user of said WBS.
 2. The system according toclaim 1 wherein said product is a business object.
 3. The systemaccording to claim 2 wherein said widget card comprises parameters of: acard type, a visual display widget and a business object having anassociated product classification according to said taxonomy.
 4. Thesystem according to claim 3 and also comprising at least one parameterof: a card subtype, associated actions and other additional informationrelated to said product.
 5. The system according to claim 2 wherein saidat least one card product system comprises: a card informationrepository to store information regarding widgets, business objecthierarchies and taxonomies, operational data, action definitions, widgetcard definitions and said pre-defined rules; a product classifier toanalyze at least one of: incoming text, incoming media, an incomingwebpage associated with said product and an external product referencefrom a system external to said website building system, and to convert aproduct reference to a structured product description together withstandardized product definitions and classifications; a card creator tocreate said widget card based on said trigger, said card informationrepository and the output of said product classifier; and a card feeddisplayer to generate and continuously update the display feed of saidwidget card.
 6. The system according to claim 5 and also comprising atleast one of: a card transferrer to transfer said widget card to asecond user of said website building system or to a system external tosaid website building system based on a request from said user; and acard transformer to transform said parameters of said widget card basedon a request from said user.
 7. The system according to claim 6 and alsocomprising at least one of: an external sensor and information retrieverto receive environmental, biometric, physiological or psychologicalparameters of said user from an external sensor associated with saiduser; a product matcher to match said product with at least one likeproduct having a similar classification in at least one of said:website, said website building system, a third-party applicationassociated with said website building system and a system external tosaid website building system; an external system supporter andintegrator to analyze an incoming external product reference from awebpage external to said website building system and to allow an actionof said widget card to activate an external program to said websitebuilding system; a card marketplace to offer card types for sale to saidusers; and an AI analyzer to analyze and accumulate informationregarding said user insights, said website behavior of said user,activity history of said user and preferences of said user.
 8. Thesystem according to claim 7 and also comprising: a rule engine toactivate said product classifier, said product matcher, said externalsystem supporter and integrator, said card feed displayer, said cardtransferrer and said card transformer according to said pre-definedrules; and a card communicator to coordinate between said cardinformation repository, said external sensor and information retriever,said product classifier, said product matcher, said external systemsupporter and integrator, said card feed displayer, said cardtransferrer, said card transformer, said AI analyzer and said ruleengine.
 9. The system according to claim 7 wherein said AI analyzerupdates said product classification taxonomy according to saidinformation.
 10. The system according to claim 7 and further comprisingsaid product classifier to classify according to at least one of: saidAI analyzer, inheritance classifications, site structure of saidwebsite, displayed webpage of said product and said website editinghistory.
 11. The system according to claim 7 and further comprising saidproduct matcher to match according to the classification of said productclassifier, system attributes of said widget card, an analysis of adisplayed webpage for said product, said website usage history and theresults of analyses from said AI analyzer of previous queries andmatchings.
 12. The system according to claim 5 wherein said card creatorcomprises: multiple receivers to retrieve and receive at least one of:product types, product subtypes, actions and widgets associated withsaid product according to said pre-defined rules; an insight analyzer tocollate and analyze operational data and business intelligence of saidwebsite together with design and BI information gathered from secondarywebsites and external systems visited by said user; a type filter tofilter irrelevant said product types and said product subtypes for saidproduct; an action prioritizer to remove irrelevant said actionsassociated with said product and to prioritize remaining said actions; aproduct processor to process and remove irrelevant business objectinstances associated with said product and to prioritize the remainingbusiness object instances; a card prioritizer to create a list of widgetcards for display by a card feeder; and a card generator to generatesaid widget card based on said type filter, said action prioritizer,said product processor and said card prioritizer.
 13. The systemaccording to claim 5 wherein said card feed displayer comprises: a cardretriever to retrieve multiple said widget cards for presentation tosaid user for said feed; a card filterer to filter said multiple saidwidget cards based on at least one of: relevance, urgency and said userdefined criteria; a card feed prioritizer to prioritize said filteredmultiple widget cards based on at least one of: relevance, urgency andsaid user defined criteria; a card updater to update said multiplewidget cards within said feed based on real time events; and a card feedmanager to perform at least one of: re-sorting said feed, filtering saidfeed, hiding and unhiding said cards, deleting said cards, archivingsaid cards, adding notes to said cards and setting said widget cardattributes.
 14. The system according to claim 2 wherein said businessobject is at least one of: a generic object class and a specific objectinstance.
 15. The system according to claim 1 wherein said websitebuilding system comprises: a runtime repository to store site andapplication operational data, collected business intelligence (BI),activities, messages and contacts associated with said website; a designtime repository to store templates, component definitions, site andapplication definitions and editing history of said website; and avisual editor to allow vendors of said website building system andthird-party card designers to design and edit said widget card.
 16. Thesystem according to claim 15 and also comprising at least one of: avisual adapter to adapt the style and layout of said widget card to atleast one of style and layout of a website displaying said widget card;and a widget creator to allow a designer of said website to createwidgets based on at least one of: a definition language, a modifiedexisting view and visual editing.
 17. The system according to claim 1wherein said system is a social network.
 18. The system according toclaim 1 wherein said user is at least one of: an anonymous user of saidwebsite, a regular user of said website, a subscribed user of saidwebsite, an unsubscribed user of said website; internal vendor staff ofsaid website building system, third party application providers,vertical application providers, a visitor of said website, an operatorof said website, an owner of said website and a designer of saidwebsite.
 19. The system according to claim 1 wherein said trigger is oneof: a direct action of said user, a request from said user, an externalreal-world sensor event; a time-based activity and business or designanalysis of said website.
 20. The system according to claim 1 whereinsaid widget cards convey messages with at least one third partyapplication associated with said website building system.
 21. The systemaccording to claim 1 wherein said product is a consumer good, a servicesession, a topic of interest or a product in a non-consumer environment.22. A method, the method comprising; creating at least one actionablewidget card associated with a website building system (WBS), said WBS tohost multiple websites, wherein said widget card implements at leaste-commerce related operations for a product, said creating comprising:storing parameters for said multiple websites, pre-defined rulesconcerning card definitions, pre-defined widget card parameters and aproduct classification taxonomy; receiving a trigger from a website fromsaid multiple websites, said trigger associated with an action relatedto said product; generating said actionable widget card associated withsaid product according to said action, said classification taxonomy andat least one of: said website parameters, said pre-defined rules andsaid pre-defined widget card parameters; and wherein said actionablewidget card enables communication between at least one of: said WBS andsaid website, said website and at least one user of said website andbetween said user and a second user of said WBS.
 23. The methodaccording to claim 22 wherein said product is a business object.
 24. Themethod according to claim 23 wherein said widget card comprisesparameters of: a card type, a visual display widget and a businessobject having an associated product classification according to saidtaxonomy.
 25. The method according to claim 23 and also comprising atleast one parameter of: a card subtype, associated actions and otheradditional information related to said product.
 26. The method accordingto claim 23 wherein said creating further comprises: storing informationregarding widgets, business object hierarchies and taxonomies,operational data, action definitions, widget card definitions and saidpre-defined rules; analyzing at least one of: incoming text, incomingmedia, an incoming webpage associated with said product and an externalproduct reference from a system external to said website buildingsystem, and converting a product reference to a structured productdescription together with standardized product definitions andclassifications; creating said widget card based on said trigger, saidcard information repository and the output of said analyzing andconverting a product reference; and generating and continuously updatingthe display feed of said widget card.
 27. The method according to claim26 and also comprising at least one of: transferring said widget card toa second user of said website building system or to a system external tosaid website building system based on a request from said user; andtransforming said parameters of said widget card based on a request fromsaid user.
 28. The method according to claim 27 and also comprising atleast one of: receiving environmental, biometric, physiological orpsychological parameters of said user from an external sensor associatedwith said user; matching said product with at least one like producthaving a similar classification in at least one of: said website, saidwebsite building system, a third-party application associated with saidwebsite building system and a system external to said website buildingsystem; analyzing an incoming external product reference from a webpageexternal to said website building system and allowing an action of saidwidget card to activate an external program to said website buildingsystem; offering card types for sale to said users; and analyzing andaccumulating information based on artificial intelligence regarding saiduser insights, said website behavior of said user, activity history ofsaid user and preferences of said user.
 29. The method according toclaim 28 and also comprising: activating said analyzing and converting aproduct reference, said matching, said analyzing an incoming externalproduct reference, said transferring and said transforming according tosaid pre-defined rules; and coordinating between said storinginformation, said receiving environmental, biometric, physiological orpsychological parameters of said user, said analyzing and converting aproduct reference, said matching, said analyzing an incoming externalproduct reference, said transferring, said transforming, said generatingand continuously updating, said analyzing and accumulating informationbased on artificial intelligence and said activating.
 30. The methodaccording to claim 28 wherein said analyzing and accumulatinginformation based on artificial intelligence further updates saidproduct classification taxonomy according to said information.
 31. Themethod according to claim 28 and further comprising said matching tomatch according to the classification of said product classifier, systemattributes of said widget card, an analysis of a displayed webpage forsaid product, said website usage history and the results of analysesfrom said analyzing and accumulating information based on artificialintelligence of previous queries and matchings.
 32. The method accordingto claim 26 wherein said creating said widget card comprises: retrievingand receiving at least one of: product types, product subtypes, actionsand widgets associated with said product according to said pre-definedrules; collating and analyzing operational data and businessintelligence of said website together with design and BI informationgathered from secondary websites and external systems visited by saiduser; filtering irrelevant said product types and said product subtypesfor said product; removing irrelevant said actions associated with saidproduct and prioritizing remaining said actions; processing and removingirrelevant business object instances associated with said product andprioritizing the remaining business object instances; creating a list ofwidget cards for display; and generating said widget card based on saidfiltering, said removing irrelevant said actions and prioritizingremaining said actions, said processing and removing irrelevant businessobject instances, said prioritizing the remaining business objectinstances and said creating a list of widget cards for display.
 33. Themethod according to claim 26 wherein said generating and continuouslyupdating the display feed comprises: retrieving multiple said widgetcards for presentation to said user for said feed; filtering saidmultiple said widget cards based on at least one of: relevance, urgencyand said user defined criteria; prioritizing said filtered multiplewidget cards based on at least one of: relevance, urgency and said userdefined criteria; updating said multiple widget cards within said feedbased on real time events; and performing at least one of: re-sortingsaid feed, filtering said feed, hiding and unhiding said cards, deletingsaid cards, archiving said cards, adding notes to said cards and settingsaid widget card attributes.
 34. The method according to claim 26 andfurther comprising said analyzing and converting a product reference toa structured product description to classify according to at least oneof: said analyzing and accumulating information based on artificialintelligence, inheritance classifications, site structure of saidwebsite, displayed webpage of said product and said editing history ofsaid website.
 35. The method according to claim 23 wherein said businessobject is at least one of a generic object class and a specific objectinstance.
 36. The method according to claim 22 and also comprising:storing site and application operational data, collected businessintelligence (BI), activities, messages and contacts associated withsaid website; storing templates, component definitions, site andapplication definitions and editing history of said website; andallowing vendors of said website building system and third-party carddesigners to design and edit said widget card.
 37. The method accordingto claim 36 and also comprising at least one of: adapting the style andlayout of said widget card to at least one of style and layout of awebsite displaying said widget card; and allowing a designer of saidwebsite to create widgets based on at least one of: a definitionlanguage, a modified existing view and visual editing.
 38. The methodaccording to claim 22 wherein said user is at least one of: an anonymoususer of said website, a regular user of said website, a subscribed userof said website, an unsubscribed user of said website; internal vendorstaff of said website building system, third party applicationproviders, vertical application providers, a visitor of said website, anoperator of said website, an owner of said website and a designer ofsaid web site.
 39. The method according to claim 22 wherein said triggeris one of: a direct action of said user, a request from said user, anexternal real-world sensor event; a time-based activity and business ordesign analysis of said website.
 40. The method according to claim 22wherein said widget cards convey messages with at least one third partyapplication associated with said website building system.
 41. The methodaccording to claim 22 wherein said product is a consumer good, a servicesession, a topic of interest or a product in a non-consumer environment.